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V.S. Ramachandran and William Hirstein
The Science of Art
A Neurological Theory of Aesthetic Experience
We present a theory of human artistic experience and the neural
mechanisms that mediate
it. Any theory of art (or, indeed, any aspect of human nature)
has to ideally have three
components. (a) The logic of art: whether there are universal
rules or principles; (b) The
evolutionary rationale: why did these rules evolve and why do
they have the form that they
do; (c) What is the brain circuitry involved? Our paper begins
with a quest for artistic uni-
versals and proposes a list of ‘Eight laws of artistic experience’
— a set of heuristics that
artists either consciously or unconsciously deploy to optimally
titillate the visual areas of
the brain. One of these principles is a psychological
phenomenon called the peak shift
effect: If a rat is rewarded for discriminating a rectangle from a
square, it will respond
even more vigorously to a rectangle that is longer and skinnier
that the prototype. We sug-
gest that this principle explains not only caricatures, but many
other aspects of art. Exam-
ple: An evocative sketch of a female nude may be one which
selectively accentuates those
feminine form-attributes that allow one to discriminate it from a
male figure; a Boucher, a
Van Gogh, or a Monet may be a caricature in ‘colour space’
rather than form space. Even
abstract art may employ ‘supernormal’ stimuli to excite form
areas in the brain more
strongly than natural stimuli. Second, we suggest that grouping
is a very basic principle.
The different extrastriate visual areas may have evolved
specifically to extract correla-
tions in different domains (e.g. form, depth, colour), and
discovering and linking multiple
features (‘grouping’) into unitary clusters — objects — is
facilitated and reinforced by
direct connections from these areas to limbic structures. In
general, when object-like enti-
ties are partially discerned at any stage in the visual hierarchy,
messages are sent back to
earlier stages to alert them to certain locations or features in
order to look for additional
evidence for the object (and these processes may be facilitated
by direct limbic activa-
tion). Finally, given constraints on allocation of attentional
resources, art is most appeal-
ing if it produces heightened activity in a single dimension (e.g.
through the peak shift
principle or through grouping) rather than redundant activation
of multiple modules.
This idea may help explain the effectiveness of outline drawings
and sketches, the savant
syndrome in autists, and the sudden emergence of artistic talent
in fronto-temporal
dementia. In addition to these three basic principles we propose
five others, constituting a
total of ‘eight laws of aesthetic experience’ (analogous to the
Buddha’s eightfold path to
wisdom).
Journal of Consciousness Studies, 6, No. 6-7, 1999, pp. 15–51
Correspondence: V.S. Ramachandran, Center For Brain and
Cognition, University of California,
San Diego, La Jolla, CA 92093-0109, USA.
‘Everyone wants to understand art. Why not try to understand
the song of a bird?’
Pablo Picasso
Introduction
If a Martian ethologist were to land on earth and watch us
humans, he would be puz-
zled by many aspects of human nature, but surely art — our
propensity to create and
enjoy paintings and sculpture — would be among the most
puzzling. What biological
function could this mysterious behaviour possible serve?
Cultural factors undoubt-
edly influence what kind of art a person enjoys — be it a
Rembrandt, a Monet, a
Rodin, a Picasso, a Chola bronze, a Moghul miniature, or a
Ming Dynasty vase. But,
even if beauty is largely in the eye of the beholder, might there
be some sort of univer-
sal rule or ‘deep structure’, underlying all artistic experience?
The details may vary
from culture to culture and may be influenced by the way one is
raised, but it doesn’t
follow that there is no genetically specified mechanism — a
common denominator
underlying all types of art. We recently proposed such a
mechanism (Ramachandran
and Blakeslee, 1998), and we now present a more detailed
version of this hypothesis
and suggest some new experiments. These may be the very first
experiments ever
designed to empirically investigate the question of how the
brain responds to art.
Many consider art to be a celebration of human individuality
and to that extent it
may seem like a travesty to even search for universals. Indeed
theories of visual art
range from curious anarchist views (or even worse, ‘anything
goes’) to the idea that
art provides the only antidote to the absurdity or our existence
— the only escape, per-
haps, from this vale of tears (Penrose, 1973). Our approach to
art, in this essay, will be
to begin by simply making a list of all those attributes of
pictures that people gener-
ally find attractive. Notwithstanding the Dada movement, we
can then ask, Is there a
common pattern underlying these apparently dissimilar
attributes, and if so, why is
this pattern pleasing to us? What is the survival value, if any, of
art?
But first let us clear up some common misconceptions about
visual art. When the
English colonizers first arrived in India they were offended by
the erotic nudes in
temples; the hips and breasts were grossly hypertrophied, the
waist abnormally thin
(Plate 1).
1
Similarly the Rajasthani and Moghul miniature paintings were
considered
primitive because they lacked perspective. In making this
judgement they were, of
course, unconsciously comparing Indian art with the ideals of
Western representa-
tional art — Renaissance art in particular. What is odd about
this criticism though, is
that it misses the whole point of art. The purpose of art, surely,
is not merely to depict
or represent reality — for that can be accomplished very easily
with a camera — but
to enhance, transcend, or indeed even to distort reality. The
word ‘rasa’ appears
repeatedly in Indian art manuals and has no literal translation,
but roughly it means
‘the very essence of.’ So a sculptor in India, for example, might
try to portray the rasa
of childhood (Plate 2), or the rasa of romantic love, or sexual
ecstasy (Plate 3), or
feminine grace and perfection (Plate 4). The artist is striving, in
these images, to
strongly evoke a direct emotional response of a specific kind. In
Western art, the
‘discovery’ of non-representational abstract art had to await the
arrival of Picasso.
His nudes were also grotesquely distorted — both eyes on one
side of the face for
example. Yet when Picasso did it, the Western art critics
heralded his attempts to
THE SCIENCE OF ART 16
[1] Plates will be found together on pp. 36–41 of this offprint
booklet.
‘transcend perspective’ as a profound new discovery — even
though both Indian and
African art had anticipated this style by several centuries!
We suggest in this essay that artists either consciously or
unconsciously deploy cer-
tain rules or principles (we call them laws) to titillate the visual
areas of the brain.
Some of these laws, we believe, are original to this article — at
least in the context of
art. Others (such as grouping) have been known for a long time
and can be found in
any art manual, but the question of why a given principle should
be effective is rarely
raised: the principle is usually just presented as a rule-of-
thumb. In this essay we try
to present all (or many) of these laws together and provide a
coherent biological
framework, for only when they are all considered
simultaneously and viewed in a bio-
logical context do they begin to make sense. There are in fact
three cornerstones to
our argument. First, what might loosely be called the ‘internal
logic’ of the phenome-
non (what we call ‘laws’ in this essay). Second, the
evolutionary rationale: the ques-
tion of why the laws evolved and have that particular form (e.g.
grouping facilitates
object perception). And third, the neurophysiology (e.g.
grouping occurs in extrastri-
ate areas and is facilitated by synchronization of spikes and
direct limbic activation).
All three of these need to be in place — and must inform each
other — before we can
claim to have ‘understood’ any complex manifestation of human
nature — such as
art. Many earlier discussions of art, in our view, suffer from the
shortcoming that they
view the problem from just one or two of these perspectives.
We should clarify at the outset that many aspects of art will not
be discussed in this
article — such as matters concerning style. Indeed it may well
be that much of art
really has to do with aggressive marketing and hype, and this
inevitably introduces an
element of arbitrariness that complicates the picture
enormously. Furthermore the
artistic ‘universals’ that we shall consider are not going to
provide an instant formula
for distinguishing ‘tacky’ or ‘tourist’ art, that hangs in the
lobbies of business execu-
tives, from the genuine thing — even though a really gifted
artist could do so instantly
— and until we can do that we can hardly claim to have
‘understood’ art. Yet despite
these reservations, we do believe that there is at least a
component to art — however
small — that IS lawful and can be analysed in accordance with
the principles or laws
outlined here. Although we initially proposed these ‘laws’ in a
playful spirit, we were
persuaded that there is enough merit in them to warrant
publication in a philosophical
journal. If the essay succeeds in stimulating a dialogue between
artists, visual physi-
ologists and evolutionary biologists, it will have adequately
served its purpose.
The Essence of Art and the Peak Shift Principle
Hindu artists often speak of conveying the rasa, or ‘essence’, of
something in order to
evoke a specific mood in the observer. But what exactly does
this mean? What does it
mean to ‘capture the very essence’ of something in order to
‘evoke a direct emotional
response’? The answer to these questions, it turns out, provides
the key to understand-
ing what art really is. Indeed, as we shall see, what the artist
tries to do (either con-
sciously or unconsciously) is to not only capture the essence of
something but also to
amplify it in order to more powerfully activate the same neural
mechanisms that
would be activated by the original object. As the physiologist
Zeki (1998) has elo-
quently noted, it may not be a coincidence that the ability of the
artist to abstract the
‘essential features’ of an image and discard redundant
information is essentially iden-
tical to what the visual areas themselves have evolved to do.
17 V.S. RAMACHANDRAN AND W. HIRSTEIN
Consider the peak shift effect — a well-known principle in
animal discrimination
learning. If a rat is taught to discriminate a square from a
rectangle (of say, 3:2 aspect
ratio) and rewarded for the rectangle, it will soon learn to
respond more frequently to
the rectangle. Paradoxically, however, the rat’s response to a
rectangle that is even
longer and skinnier (say, of aspect ratio 4:1) is even greater
than it was to the original
prototype on which it was trained. This curious result implies
that what the rat is
learning is not a prototype but a rule, i.e. rectangularity. We
shall argue in this essay
that this principle holds the key for understanding the
evocativeness of much of visual
art. We are not arguing that it’s the only principle, but that it is
likely to be one of a
small subset of such principles underlying artistic experience.
How does this principle — the peak shift effect — relate to
human pattern recogni-
tion and aesthetic preference? Consider the way in which a
skilled cartoonist pro-
duces a caricature of a famous face, say Nixon’s. What he does
(unconsciously) is to
take the average of all faces, subtract the average from Nixon’s
face (to get the differ-
ence between Nixon’s face and all others) and then amplify the
differences to produce
a caricature. The final result, of course, is a drawing that is
even more Nixon-like than
the original. The artist has amplified the differences that
characterize Nixon’s face in
the same way that an even skinnier rectangle is an amplified
version of the original
prototype that the rat is exposed to. This leads us to our first
aphorism: ‘All art is cari-
cature’. (This is not literally true, of course, but as we shall see,
it is true surprisingly
often.) And the same principle that applies for recognizing faces
applies to all aspects
of form recognition. It might seem a bit strange to regard
caricatures as art but take a
second look at the Chola bronze — the accentuated hips and
bust of the Goddess Par-
vati (Plate 1) and you will see at once that what you have here
is essentially a carica-
ture of the female form. There may be neurons in the brain that
represent sensuous,
rotund feminine form as opposed to angular masculine form and
the artist has chosen
to amplify the ‘very essence’ (the rasa) of being feminine by
moving the image even
further along toward the feminine end of the female/male
spectrum (Plate 4). The
result of these amplifications is a ‘super stimulus’ in the domain
of male/female
differences. It is interesting, in this regard, that the earliest
known forms of art are
often caricatures of one sort or another; e.g. prehistoric cave art
depicting animals like
bison and mammoths, or the famous Venus ‘fertility’ figures.
As a further example, look at the pair of nudes in Plate 5, a
sculpture from Northern
India (circa 800 AD). No normal woman can adopt such
contorted postures and yet the
sculpture is incredibly evocative — beautiful — capturing the
rasa of feminine poise
and grace. To explain how he achieves this effect, consider the
fact that certain pos-
tures are impossible (and unlikely) among men but possible in
women because of cer-
tain anatomical differences that impose constraints on what can
or cannot be done.
Now in our view what the artist has done here is to subtract the
male posture from the
female posture to produce a caricature in ‘posture space’
thereby amplifying ‘fem-
inine posture’ and producing a correspondingly high limbic
activation. The same can
be said of the dancer in Plate 6 or for the amorous couple (Plate
7). Again, even
though these particular, highly stylized anatomical poses are
impossible (or unlikely)
it is very evocative of the ‘Sringara Rasa’ or ‘Kama rasa’
(sexual and amorous
ecstasy) because the artist is providing a ‘caricature’ that
exaggerates the amorous
pose. It is as though the artist was been able to intuitively
access and powerfully
stimulate neural mechanisms in the brain that represent
‘amorousness’.
THE SCIENCE OF ART 18
A posture space might be realized in the form of a large set of
remembered postures
of people one has observed. (Whether one might expect such a
memory mapping to
exist in the ‘dorsal’ stream of visual processing, which connects
with the agent’s own
body representations, or the ‘ventral’ stream, known to be used
for face perception, is
an interesting question; perhaps the answer is, both). There is
an obvious need to con-
nect these posture representations to the limbic system: it is
quite imperative that I
recognize an attack posture, a posture — or body position —
which beckons me, or
one which indicates sadness or depression, etc. The sculptors of
Plates 5 and 6 relied
on this represented posture space in creating their works. The
sculptor knows, con-
sciously or not, that the sight of those postures will evoke a
certain sort of limbic acti-
vation when the posture is successfully represented in the
posture space system — he
tells a story in this medium, we might say.
Until now we have considered caricatures in the form domain,
but we know from
the pioneering work of many physiologists (Zeki, 1980; see also
Livingstone and
Hubel, 1987; Allman & Kaas, 1971; Van Essen & Maunsell,
1980) that the primate
brain has specialized modules concerned with other visual
modalities such as colour
depth and motion. Perhaps the artist can generate caricatures by
exploiting the peak
shift effect along dimensions other than form space, e.g., in
‘colour space’ or ‘motion
space’. For instance consider the striking examples of the
plump, cherub-faced nudes
that Boucher is so famous for. Apart from emphasizing
feminine, neotonous baby-
like features (a peak shift in the masculine/feminine facial
features domain) notice
how the skin tones are exaggerated to produce an unrealistic
and absurd ‘healthy’
pink flush. In doing this, one could argue he is producing a
caricature in colour space,
particularly the colours pertaining to male/female differences in
skin tone. Another
artist, Robert, on the other hand, pays little attention to colour
or even to form, but
tends to deliberately overemphasize the textural attributes of his
objects, be they
bricks, leaves, soil, or cloth. And other artists have deliberately
exaggerated (‘caric-
atured’ or produced peak shifts in) shading, highlights,
illumination etc to an extent
that would never occur in a real image. Even music may involve
generating peak
shifts in certain primitive, passionate primate vocalizations such
as a separation cry;
the emotional response to such sounds may be partially hard-
wired in our brains.
A potential objection to this scheme is that it is not always
obvious in a given pic-
ture what the artist is trying to caricature, but this is not an
insurmountable objection.
Ethologists have long known that a seagull chick will beg for
food by pecking at its
mother’s beak. Remarkably, it will peck just as vigorously at a
disembodied beak with
no mother attached or even a brown stick with a red dot at the
end (the gull’s beak has
a vivid red spot near the tip). The stick with the red dot is an
example of a ‘releasing
stimulus’ or ‘trigger feature’ since, as far as the chick’s visual
system is concerned
this stimulus is as good as the entire mother bird. What is even
more remarkable,
though, was Tinbergen’s discovery (Tinbergen, 1954) that a
very long, thin brown
stick, with three red stripes at the end is even more effective in
eliciting pecks than the
original beak, even though it looks nothing like a beak to a
human observer.
The gull’s form recognition areas are obviously wired-up in
such a way that Tinber-
gen had inadvertently produced a super stimulus, or a caricature
in ‘beak space’ (e.g.
the neurons in the gull’s brain might embody the rule ‘more red
contour the better’).
Indeed, if there were an art gallery in the world of the seagull,
this ‘super beak’ would
qualify as a great work of art — a Picasso. Likewise, it is
possible that some types of
19 V.S. RAMACHANDRAN AND W. HIRSTEIN
art such as cubism are activating brain mechanisms in such a
way as to tap into or
even caricature certain innate form primitives which we do not
yet fully understand.
2
At present we have no idea what the ‘form primitives’ used by
the human visual path-
ways are, but we suggest that many artists may be
unconsciously producing height-
ened activity in the ‘form areas’ in a manner that is not obvious
to the conscious mind,
just as it isn’t obvious why a long stick with three red stripes is
a ‘super beak’. Even
the sunflowers of Van Gogh or the water lilies of Monet may be
the equivalent — in
colour space — of the stick with the three stripes, in that they
excite the visual neu-
rons that represent colour memories of those flowers even more
effectively than a real
sunflower or water lily might.
There is also clearly a mnemonic component of aesthetic
perception, including, the
autobiographical memory of the artist, and of her viewer, as
well as the viewer’s more
general ‘cognitive stock’ brought to his encounter with the
work. This general cogni-
tive stock includes the viewer’s memory of his encounters with
the painting’s etio-
logical forebears, including those works that the artist himself
was aware of. Often
paintings contain homages to earlier artists and this concept of
homage fits what we
have said about caricature: the later artist makes a caricature of
his acknowledged
predecessor, but a loving one, rather than the ridiculing
practised by the editorial car-
toonist. Perhaps some movements in the history of art can be
understood as driven by
a logic of peak shift: the new art form finds and amplifies the
essence of a previous
one (sometimes many years previous, in the case of Picasso and
African art).
3
THE SCIENCE OF ART 20
[2] Another manifestation of this principle can be seen in the
florid sexual displays of birds — that we find
so attractive. It is very likely, as suggested by Darwin, that the
grotesque exaggeration of these
displays, for example the magnificent wings of the birds of
paradise, is a manifestation of the peak shift
effect during mate choice — sexual selection caused by birds of
each generation preferring caricatures
of the opposite sex to mate with (just as humans lean toward
Playboy pinups and Chippendale
dancers). Indeed we have recently suggested (Ramachandran
and Blakeslee, 1998) that many aspect of
morphological evolution (not just ‘secondary sexual
characteristics’ or florid ‘ethological releasers’
and threat displays) may be the outcome of runaway selection,
based on the peak shift principle. The
result would be not only the emergence and ‘quantization’ of
new species, but also a progressive and
almost comical ‘caricaturization’ of phylogenetic trends of
precisely the kind one sees in the evolution
of elephants or ankylosaurs. Even the quirks of fashion design
(e.g. corsets becoming absurdly narrow,
shoes becoming smaller and smaller in ancient China, shrinking
miniskirts) become more
comprehensible in terms of this perceptual principle. One
wonders, also, whether the striking
resemblance between the accumulation of jewellery, shoes and
other brightly coloured objects by
humans and the collections of bright pebbles, berries and
feathers by bowerbirds building their
enormous nests is entirely coincidental.
[3] Lastly, consider the evolution of facial expressions. Darwin
proposed that a ‘threat gesture’ may have
evolved from the real facial movements one makes before
attacking a victim — i.e. the baring of
canines, etc. The same movement may eventually become
divorced from the actual act and begin to
serve as a communication of intent — a threat. If the peak shift
principle were to operate in the
recipient’s brain it is easy to see how such a ritualized signal
would become progressively amplified
across generations. Darwin had a difficult time, however,
explaining why gestures such as sadness
(instead of joy) seem to involve the opposite movement of
facial features — e.g. lowering the corners
of the mouth — and he came up with his somewhat ad hoc
‘principle of antithesis’, which states that
somehow the opposite emotion is automatically linked to the
opposite facial movements. We would
suggest, instead, that the principle of antithesis is, once again,
an indirect result of the recipient’s brain
applying the peak shift principle. Once the organism has
circuitry in its brain that says K is normal and J
is a smile, then it may follow automatically that L is the
expression of the opposite emotion — sadness.
Whether this particular conjecture is correct or not we believe
that emotional expressions analysed in
terms of the peak shift effect may begin to make more sense
than they have in the past.
Another layer of complexity here is that even the perception of
complex postures or actions may
Perceptual Grouping and Binding is Directly Reinforcing
One of the main functions of ‘early vision’ (mediated by the
thirty or so extrastriate
visual areas) is to discover and delineate objects in the visual
field (Marr, 1981;
Ramachandran, 1990; Pinker, 1998; Shepard, 1981) and for
doing this the visual
areas rely, once again, on extracting correlations. For instance
if a set of randomly
placed spots A is superimposed on another set of randomly
placed dots B, they are
seen to mingle to form just a single enormous cluster. But if you
now move one of the
clusters (say, A) then all the dots are instantly glued or bound
together perceptually to
create an object that is clearly separate from the background
cluster B. Similarly if
cluster A is made of red dots (and B is of green dots) we have
no difficulty in segregat-
ing them instantly.
This brings us to our second point. The very process of
discovering correlations
and of ‘binding’ correlated features to create unitary objects or
events must be rein-
forcing for the organism — in order to provide incentive for
discovering such correla-
tions (Ramachandran and Blakeslee, 1998). Consider the famous
hidden face (Fig. 1)
21 V.S. RAMACHANDRAN AND W. HIRSTEIN
Figure 1
A jumble of splotches or a face?
[If you have difficulty ‘seeing’ the
face, try looking through half-closed
eyes — Editor.]
Figure 2
Initially seen as a jumble of splotches, once the Dalma-
tian is seen, its spots are grouped together — a pleasing
effect, caused perhaps by activation of the limbic sys-
tem by temporal lobe cortex.
require the observer to somehow internally re-enact or
‘rehearse’ the action before it is identified. For
instance, patients with apraxia (inability to perform complex
skilled movements resulting from
damage to the left supramarginal gyrus) often, paradoxically,
have difficulty perceiving and
recognizing complex actions performed by others. Also, there
are cells in the frontal lobes thought to
be involved in the production of complex movements but which
also fire when the animal perceives
the same movements performed by a the experimenter (di
Pellegrino et al., 1992). This finding —
together with the peak shift effect — would help account for
Darwin’s ‘principle of antithesis’, which
would otherwise seem completely mysterious. Such cells may
also be activated powerfully when
viewing dynamic figural representations such as the ‘Dancing
Devi’ (Plate 6).
or Dalmatian dog photo (Fig. 2). This is seen initially as a
random jumble of
splotches. The number of potential groupings of these splotches
is infinite but once
the dog is seen your visual system links only a subset of these
splotches together and it
is impossible not to ‘hold on’ to this group of linked splotches.
Indeed the discovery
of the dog and the linking of the dog-relevant splotches
generates a pleasant ‘aha’
sensation. In ‘colour space’ the equivalent of this would be
wearing a blue scarf with
red flowers if you are wearing a red skirt; the perceptual
grouping of the red flowers
and your red skirt is aesthetically pleasing — as any fashion
designer will tell you.
These examples suggest that there may be direct links in the
brain between the
processes that discover such correlations and the limbic areas
which give rise to the
pleasurable ‘rewarding’ sensations associated with ‘feature
binding’. So when you
choose a blue matte to frame your painting in order to ‘pick up’
flecks of blue in the
painting you are indirectly tapping into these mechanisms.
How is such grouping achieved? As noted above, the primate
brain has over two
dozen visual areas each of which is concerned with a different
visual attribute such as
motion, colour, depth, form, etc. These areas are probably
concerned with extracting
correlations in ‘higher dimensional’ spaces — such as ‘colour
space’ or ‘motion
space’. In a regular topographic map — e.g., in area 17 —
features that are close
together in physical space are also close together in the brain
(which is all that is
meant by ‘map’). But now think of non-topographic maps — say
a map of ‘colour
space’ — in which points that are close together in wavelength
are mapped close
together in the colour area of the brain even though they may be
distant from each
other physically (Barlow, 1986). Such proximity along different
feature dimensions
may be useful for perceptual grouping and ‘binding’ of features
that are similar
within that dimension.
This argument sounds plausible, but why should the outputs of
separate vision
modules — space, colour, depth, motion, etc. — be sent directly
to the limbic system
before further processing has occurred? Why not delay the
reinforcement produced
by limbic activation until the object has actually been identified
by neurons in infero-
temporal cortex? After all, the various Gestalt grouping
processes are thought to
occur autonomously as a result of computations within each
module itself (Marr,
1981) without benefit of either cross-module or ‘top down’
influences — so why
bother hooking up the separate modules themselves to limbic
regions? One resolution
of this paradox might simply be that the serial, hierarchical,
‘bucket brigade’ model
of vision is seriously flawed and that eliminating ambiguity,
segmenting the scene
and discovering and identifying objects do indeed rely on top
down processes — at
least to some situations (Churchland et al., 1994). The visual
system is often called
upon to segment the scene, delineate figure from ground and
recognize objects in
very noisy environments — i.e., to defeat camouflage — and
this might be easier to
accomplish if a limbic ‘reinforcement’ signal is not only fed
back to early vision once
an object has been completely identified, but is evoked at each
and every stage in
processing as soon as a partial ‘consistency’ and binding is
achieved. This would
explain why we say ‘aha’ when the Dalmatian is finally seen in
Fig. 2 — and why it is
difficult to revert back to seeing merely splotches once the dog
is seen as a whole: that
particular percept is powerfully reinforced (Ramachandran and
Blakeslee, 1998). In
other words, even though the grouping may be initially based on
autonomous process
in each module (Marr, 1981), once a cluster of features becomes
perceptually salient
THE SCIENCE OF ART 22
as a ‘chunk’ with boundaries (i.e. an object), it may send a
signal to the limbic centres
which in turn causes you to ‘hold on’ to that chunk to facilitate
further computation.
There is physiological evidence that grouping of features leads
to synchronization of
the spikes (action potentials) of neurons that extract those
features (Singer and Gray,
1995; Crick and Koch, 1998) and perhaps it is this synchrony
that allows the signal to
be sent to the limbic pathways. (This, by the way, may be one
reason why musical
consonance often involves harmonics — for example, a C-major
chord — which, for
physical reasons would tend to emerge from a single object,
whereas dissonant notes
are likely to emerge from two or more separate objects.)
The key idea, then, is the following (and it applies to many of
our laws, not just
grouping). Given the limited attentional resources in the brain
and limited neural
space for competing representations, at every stage in
processing there is generated a
‘Look here, there is a clue to something potentially object-like’
signal that produces
limbic activation and draws your attention to that region (or
feature) , thereby facili-
tating the processing of those regions or features at earlier
stages. Furthermore, par-
tial ‘solutions’ or conjectures to perceptual problems are fed
back from every level in
the hierarchy to every earlier module to impose a small bias in
processing and the
final percept emerges from such progressive ‘bootstrapping’
(Ramachandran et al.,
1998). As noted above, consistency between partial high-level
‘hypotheses’ and ear-
lier low-level ensembles also generates a pleasant sensation —
e.g. the Dalmatian
dog ‘hypothesis’ encourages the binding of corresponding
splotches which, in turn,
further consolidate the ‘dog-like’ nature of the final percept and
we feel good when it
all finally clicks in place. And what the artist tries to do, is to
tease the system with as
many of these ‘potential object’ clues as possible — an idea that
would help explain
why grouping and ‘perceptual problem solving (see below) are
both frequently
exploited by artists and fashion designers.
The notion that art exploits grouping principles is of course not
new (Gombrich,
1973; Arnheim, 1956; Penrose, 1973), but what is novel here is
our claim that the
grouping doesn’t always occur ‘spontaneously’; that out of a
temporary binding a
signal sent to the limbic system to reinforce the binding, and
this is one source of the
aesthetic experience. For example, in Fig. 3, there are two
possible stable organiza-
tions, one with hourglasses, and one with closure and most
people find the latter
23 V.S. RAMACHANDRAN AND W. HIRSTEIN
Figure 3
Gestalt grouping principles. The tokens can be grouped either
on the basis of ‘proximity’ (which
produces hourglasses), or ‘closure’. The latter organization is
more stable and pleasing to the eye.
organization more pleasing than the former because the limbic
activation is stronger
with this closure-based object-like percept. When artists speak
of composition, or
grouping, they are probably unconsciously tapping into these
very same principles.
One obvious prediction that emerges from this theory is that
patients with Kluver-
Bucy syndrome — caused by bilateral amygdala destruction —
should not only dis-
play problems in recognizing objects (visual agnosia) but also
in segmenting them
out from noisy backgrounds, an idea that would be relatively
easy to test
experimentally.
Isolating a Single Module and Allocating Attention
The third important principle (in addition to peak shift and
binding) is the need to iso-
late a single visual modality before you amplify the signal in
that modality. For
instance, this is why an outline drawing or sketch is more
effective as ‘art’ than a full
colour photograph. This seems initially counterintuitive since
one would expect that
the richer the cues available in the object the stronger the
recognition signal and asso-
ciated limbic activation. This apparent objection can be
overcome, however, once one
realizes that there are obvious constraints on the allocation of
attentional resources to
different visual modules. Isolating a single area (such as ‘form’
or ‘depth’ in the case
of caricature or Indian art) allows one to direct attention more
effectively to this one
source of information, thereby allowing you to notice the
‘enhancements’ introduced
by the artist. (And that in turn would amplify the limbic
activation and reinforcement
produced by those enhancements). Consider a full-colour
illustration of Nixon, with
depth, shading, skin tones and blemishes, etc. What is unique
about Nixon is the form
of his face (as amplified by the caricature) but the skin tone —
even though it makes
the picture more human-like — doesn’t contribute to making
him ‘Nixon like’ and
therefore actually detracts from the efficacy of the form cues.
Consequently, one
would predict that a full colour photo of Nixon would actually
be less aesthetically
pleasing than a sketchy outline drawing that captures the
essential ‘Nixon-like’ attrib-
utes of his face.
The idea that outlines are effective in art is hardly new. It has
been repeated ad
nauseum by many authors, ever since David Hubel and Torsten
Wiesel (1979) origi-
nally pointed out that this principle may reflect the fact that
cells in the visual path-
ways are adequately stimulated by edges and are indifferent to
homogeneous regions.
However this would only explain why one can get away with
just using outlines —
not why outlines are actually more effective than a full colour
half tone photo, which,
after all, has more information. We would argue that when the
colour, skin texture,
etc. are not critical for defining the identity of the object in
question (e.g. Nixon’s
face) then the extra redundant information can actually distract
your limited atten-
tional resources away from the defining attributes of that object.
Hence the aphorism
‘more is less’ in Art.
4
Additional evidence for this view comes from the ‘savant
syndrome’ — autistic
children who are ‘retarded’ and yet produce beautiful drawings.
The animal drawings
of the eight-year old artist Nadia, for instance, are almost as
aesthetically pleasing as
those of Leonardo da Vinci! (Plate 8). We would argue that this
is because the funda-
THE SCIENCE OF ART 24
[4] If this theory is correct, we can make the counterintuitive
prediction that activation of the face area in
the brain — measured by fMRI — should, paradoxically, be
greater for an outline sketch of a face than
for a full colour photo of a face.
mental disorder in autism is a distortion of the ‘salience
landscape’; they shut out
many important sensory channels thereby allowing them to
deploy all their atten-
tional resources on a single channel; e.g., in ‘visual form
representation’ channel in
the case of Nadia. This idea is also consistent with the
ingenious theory of Snyder
(Snyder and Thomas, 1997), that savants are able to ‘directly
access’ the outputs of
some of their early vision modules because they are less
‘concept driven’: the concep-
tual impoverishment that produces autism also, paradoxically,
gives them better
access to earlier processes in vision. And finally, we would
suggest that the ‘iso-
lation’ principle also explains the efflorescence of artistic talent
that is occasionally
seen in fronto-temporal dementia in adults: a clinical
phenomenon that is currently
being studied intensively in our laboratory.
These ideas allow us to make certain novel predictions: If you
put luminous dots on
a person’s joints and film him or her walking in complete
darkness, the complex
motion trajectories of the dots are usually sufficient to evoke a
compelling impression
of a walking person — the so-called Johansson effect
(Johansson, 1975). Indeed, it is
often possible to tell the sex of the person by watching the gait.
However, although
these movies are often comical, they are not necessarily
pleasing aesthetically. We
would argue that this is because even though you have isolated
a cue along a single
dimension, i.e., motion, this isn’t really a caricature in motion
space. To produce a
work of art, you would need to subtract the female motion
trajectories from the male
and amplify the difference. Whether this would result in a
pleasing work of kinetic art
remains to be seen.
Contrast Extraction is Reinforcing
Grouping, as we have already noted, is an important principle,
but the extraction of
features prior to grouping — which involves discarding
redundant information and
extracting contrast — is also ‘reinforcing’. Cells in the retina,
lateral geniculate body
(a relay station in the brain) and in the visual cortex respond
mainly to edges (step
changes in luminance) but not to homogeneous surface colours;
so a line drawing or
cartoon stimulates these cells as effectively as a ‘half tone’
photograph. What is fre-
quently overlooked though is that such contrast extractions —
as with grouping —
may be intrinsically pleasing to the eye (hence the efficacy of
line drawings). Again,
though, if contrast is extracted autonomously by cells in the
very earliest stages of
processing, why should the process be rewarding in itself? We
suggest that the answer
once again has to do with the allocation of attention.
Information (in the Shannon
sense) exists mainly in regions of change — e.g. edges — and it
makes sense that such
regions would, therefore, be more attention grabbing — more
‘interesting’ — than
homogeneous areas. So it may not be coincidental that what the
cells find interesting
is also what the organism as a whole finds interesting and
perhaps in some circum-
stances ‘interesting’ translates into ‘pleasing’.
For the same reason, contrast along many other stimulus
dimensions besides lumi-
nance, such as colour or texture, has been exploited by artists
(for instance, colour
contrast is exploited by Matisse), and indeed there are cells in
the different visual
areas specialized for colour contrast, or motion contrast
(Allman and Kaas, 1971).
Furthermore, just as one can speak of a peak shift principle
along very abstract dimen-
sions, contrast can also emerge in dimensions other than
luminance or colour. For
25 V.S. RAMACHANDRAN AND W. HIRSTEIN
THE SCIENCE OF ART 26
Figure 4
Camouflage. Notice that the boundary between the two types of
texture (vertical vs. horizontal
lines) is clearly visible on the upper pattern (A), but is masked
by the luminance boundaries on the
lower (B). (Based on M.J. Morgan; personal communication).
A
B
instance, a nude wearing baroque (antique) gold jewellery (and
nothing else) is aes-
thetically much more pleasing than a completely nude woman or
one wearing both
jewellery and clothes, presumably because the homogeneity and
smoothness of the
naked skin contrasts sharply with the ornateness and rich
texture of the jewellery.
Whether the analogy between luminance contrast extracted by
cells in the brain and
the contrast between jewels and naked skin is just a play of
words or a deep unifying
principle is a question that cannot be answered given what we
know about the brain.
But we do know that the attention grabbing effect of contrast
must be a very important
principle in nature, since it is often used as a camouflage device
by both predators and
their prey. For instance, in Fig. 4A, a texture border is very
visible, but in Fig. 4B it is
almost ‘invisible’, camouflaged by the colour (black/white)
borders that grab the
lion’s share of your attention.
At first the two principles we have just considered seem
antithetical; grouping on
the basis of similarity is rewarding, but if so how can contrast
(the very opposite of
grouping) also be rewarding? One clue comes from the fact that
the two mechanisms
have different spatial constraints; grouping can occur between
similar features (e.g.
colour or motion) even if they are far apart in space (e.g., the
spots on the nose and tail
of a leopard). Contrast, on the other hand, usually occurs
between dissimilar features
that are physically close together. Thus even though the two
processes seem to be
inconsistent, they actually complement one another in that they
are both concerned
with the discovery of objects — which is the main goal of
vision. (Contrast extraction
is concerned with the object’s boundaries whereas grouping
allows recovery of the
object’s surfaces and, indirectly, of its boundaries as well). It is
easy to see then why
the two should be mutually reinforcing and rewarding to the
organism.
Symmetry
Symmetry, of course, is also aesthetically pleasing as is well
known to any Islamic
artist (or indeed to any child looking through a kaleidoscope)
and it is thought to be
extracted very early in visual processing (Julesz, 1971). Since
most biologically
important objects — such as predator, prey or mate are
symmetrical, it may serve as
an early-warning system to grab our attention to facilitate
further processing of the
symmetrical entity until it is fully recognised. As such, this
principle complements
the other laws described in this essay; it is geared towards
discovering ‘interesting’
object-like entities in the world.
Intriguingly, it has recently been shown experimentally that
when choosing a mate,
animals and humans prefer symmetrical over asymmetrical ones
and evolutionary
biologists have argued that this is because parasitic infestation
— detrimental to fer-
tility — often produces lopsided, asymmetrical growth and
development. If so, it is
hardly surprising that we have a built-in aesthetic preference for
symmetry.
The Generic Viewpoint and the Bayesian Logic of Perception
Another less well known principle relates to what AI
researchers refer to as ‘the
generic viewpoint’ principle, which is illustrated in Fig. 5A and
B and Fig. 6A and B.
In Fig. 5A most people see a square occluding the corner of
another square, even
though it could theoretically be Fig. B seen from a unique view
point. The reason is
27 V.S. RAMACHANDRAN AND W. HIRSTEIN
THE SCIENCE OF ART 28
Figure 5
One square is seen as occluding the other. It is hard to see A as
B viewed from a unique vantage
point. The brain ‘prefers’ the generic view.
Figure 6
The flat hexagon with radiating spokes could be a cube but is
never seen as one. The ‘generic’ inter-
pretation is again the brain’s preferred one.
A B
A B
29 V.S. RAMACHANDRAN AND W. HIRSTEIN
Figure 7
The brain’s abhorrence of ‘suspicious coincidences’ (a phrase
used by Horace Barlow). Figure B is
pleasing, but A is distasteful to the eye.
A
B
that there is an infinite set of viewpoints that could produce the
class of retinal images
resembling A, but only a single, unique viewpoint that could
produce retinal image A,
given the objects in B. Consequently, the visual system rejects
the latter interpretation
as being highly improbable and prefers to see A as occlusion.
(The same principle
applies to 6A and B; A could depict an outline of a cube seen
from one specific van-
tage point, but people usually see it as a flat hexagon with
spokes radiating from the
middle.) These examples illustrate the universal Bayesian logic
of all perception:
your visual system abhors interpretations which rely on a
unique vantage point and
favours a generic one or, more generally, it abhors suspicious
coincidences (Barlow,
1980). For this reason, Fig. 7B is pleasing, whereas 7A is
unattractive (palm tree and
hills). So if an artist is trying to please the eye, he too, should
avoid coincidences,
such as those in 7A and 6B. Yet one must be cautious in saying
this since every now
and then — given the perverse nature of art and artists — a
pleasing effect can be pro-
duced by violating this principle rather than adhering to it. For
instance, there is a
Picasso nude in which the improbability of the arm’s outline
exactly coinciding with
that of the torso grabs the viewer’s attention — and is arguably
attractive to him!
We hasten to add that the principles we have discussed so far
certainly do not
exhaust all types of artistic experience. We have hardly touched
on the purely sym-
bolic or allegorical aspects of some types of paintings or
sculpture, or on surrealism
and modern abstract art (e.g., minimalists such as Kandinsky),
not to mention
‘counter’ art such as the Dada movement. Also very puzzling is
the question of why a
nude hidden by a diaphanous veil is more alluring than one seen
directly in the flesh,
as pointed out by Ernst Gombrich (1973). It is as though an
object discovered after a
struggle is more pleasing than one that is instantly obvious. The
reason for this is
obscure but perhaps a mechanism of this kind ensures that the
struggle itself is re-
inforcing — so that you don’t give up too easily — whether
looking for a leopard
behind foliage or a mate hidden in the mist. On the other hand,
we suspect that surre-
alist art really doesn’t have much to do with visual
representations per se but involves
playing with links between vision and semantics, thereby taking
it closer to the meta-
phorical ambiguities of poetry and language than to the purely
visual appeal of a
Picasso, a Rodin, or a Chola bronze. For example, in his erotic
masterpiece ‘Young
virgin autosodomised by her own chastity’ (1954), Dali has used
the male penis to
represent the female buttocks and genitalia. The medium and
message ‘resonate’
since they both pertain to sex but they are also in subtle conflict
since they depict
‘opposite’ sexes! The result is an image pleasing on many levels
simultaneously. This
playful, whimsical, aspect of art, often involving the humorous
juxtaposition of com-
plementary — or sometimes even incongruous — elements, is
perhaps the most enig-
matic aspect of our aesthetic experience, one which we have
hardly touched upon in
this essay. Another aspect of art that we have not dealt with is
style, although one can
see how once a style or trend is set in motion the peak shift
principle can certainly help
amplify it.
Art as Metaphor
The use of visual metaphors in art is well known. For instance,
in Plate 9, the languor-
ous, sensuous pose of the woman mimics the tree branch above
— the curves match
her curves and perhaps the tree’s fertility is a metaphor for her
youthfulness. (Just as
in Plate 4, the fruit in the tree echoes the curve of the breasts as
well as the abdomen.)
THE SCIENCE OF ART 30
There are countless examples of this sort in both Eastern and
Western art and yet the
question is rarely raised as to why visual ‘puns’ or allegories
should be aesthetically
pleasing. A metaphor is a mental tunnel between two concepts
or percepts that appear
grossly dissimilar on the surface. When Shakespeare says ‘Juliet
is the sun,’ he is
appealing to the fact that they are both warm and nurturing (not
the fact that they both
reside in our solar system!). But, again, why should grasping an
analogy of this kind
be so rewarding to us? Perhaps the use of a simple concrete
example (or one that is
easily visualised, such as the sun) allows us to ignore irrelevant,
potentially distract-
ing aspects of an idea or percept (e.g. Juliet has nails, teeth and
legs) and enables us to
‘highlight’ the crucial aspects (radiance and warmth) that she
shares with the sun but
not with other women. Whether this is purely a device for
effective communication,
or a basic cognitive mechanism for encoding the world more
economically, remains
to be seen. The latter hypothesis may well be correct. There are
many paintings that
instantly evoke an emotional response long before the metaphor
is made explicit by
an art critic. This suggests that the metaphor is effective even
before one is conscious
of it, implying that it might be a basic principle for achieving
economy of coding
rather than a rhetorical device. This is also true of poetic
metaphors, as when Shake-
speare says of Juliet, ‘Death, that has sucked the honey of thy
breath’: the phrase is
incredibly powerful well before one becomes consciously aware
of the hidden anal-
ogy between the ‘sting of death’ and the bee’s sting and the
subtle sexual connota-
tions of ‘sucking’ and ‘breath’.
Classifying objects into categories is obviously vital for
survival, e.g. prey vs.
predator, edible vs. inedible, male vs. female, etc. Seeing a deep
similarity — a com-
mon denominator as it were — between disparate entities is the
basis of all concept
formation whether the concepts are perceptual (‘Juliet’) or more
abstract (‘love’).
Philosophers often make a distinction between categories or
‘types’ and ‘tokens’ —
the exemplars of a type — (e.g. ‘ducks’ vs. ‘that duck’). Being
able to transcend
tokens to create types is an essential step in setting up a new
perceptual category.
Being able to see the hidden similarities between successive
distinct episodes allows
you to link or bind these episodes to create a single super-
ordinate category, e.g., sev-
eral viewer-centred representations of a chair are linked to form
a viewer-
independent abstract representation of ‘chairness’.
Consequently, the discovery of
similarities and the linking of superficially dissimilar events
would lead to a limbic
activation — in order to ensure that the process is rewarding. It
is this basic mechan-
ism that one taps into, whether with puns, poetry, or visual art.
Partial support for this view comes from the observation that
these mechanisms can
go awry in certain neurological disorders. In Capgras syndrome,
for instance, connec-
tions from the visual ‘face region’ in the inferotemporal cortex
to the amygdala (a part
of the limbic system where activation leads to emotions) are
severed so that a familiar
face no longer evokes a warm fuzzy emotional response
(Hirstein and
Ramachandran, 1997). Remarkably, some Capgras patients are
no longer able to link
successive views of a person’s face to create more general
perceptual category of that
particular face. We suggested that in the absence of limbic
activation — the ‘glow’ of
recognition — there is no incentive for the brain to link
successive views of a face, so
that the patient treats a single person as several people. When
we showed our Capgras
patient DS different photos of the same person, he claimed that
the photos were of dif-
ferent people, who merely resembled each other! One might
predict, therefore, that
31 V.S. RAMACHANDRAN AND W. HIRSTEIN
patients like DS would also experience difficulty in
appreciating the metaphorical
nuances of art, but such a prediction is not easy to test.
An Experimental Test
We conclude by taking up the final test of any theory: does it
lead to counterintuitive
predictions that can be tested experimentally? One approach —
albeit a laborious one
— would be to do ‘psychophysics’ on artistic experience: show
people different types
of pictures to see what they find pretty. The principles outlined
above are difficult to
test individually, but we believe that the very first one — the
peak shift principle —
can be tested directly. To do so one could measure the galvanic
skin response (also
known as skin conductance response, SCR) of naive
experimental subjects to photos
and drawings or caricatures. When you look at any evocative
picture, the image is
extracted by the ‘early’ visual areas and sent to the
inferotemporal cortex — an area
specialized for detecting faces and other objects. Once the
object has been recog-
nized, its emotional significance is gauged by the amygdala at
the pole of the temp-
oral lobe and if it is important the message is relayed to the
autonomic nervous system
(via the hypothalamus) so that you prepare to fight, flee, or
mate. This in turn causes
your skin to sweat, producing changes in its electrical resistance
— a skin conduc-
tance response. So every time you look at your mother or even a
famous face such as
Einstein’s or Gandhi’s, you will get an SCR, but not if you look
at an unfamiliar face,
or a chair or a shoe (unless you happen to have a shoe fetish!).
So the size of the SCR is a direct measure of the amount of
limbic (emotional) acti-
vation produced by an image. It is a better measure, as it turns
out, than simply asking
someone how much emotion he feels about what he is looking at
because the verbal
response is filtered, edited, and sometimes censored by the
conscious mind — so that
your answer is a ‘contaminated’ signal. Indeed there are
patients with damage to the
inferotemporal cortex who cannot consciously recognize their
mother, yet will still
register a larger SCR to her face than to unfamiliar people
(Bauer, 1984; Tranel and
Damasio, 1985; 1988). Conversely, we have shown that another
type of patient has
the opposite problem: he consciously recognizes her, but gets
no emotional/limbic
response to her and hence creates the delusion that she is some
sort of impostor
(Hirstein and Ramachandran, 1997). These examples suggest
that measuring SCR
somehow allows you to directly access those ‘unconscious’
mental processes. The
responses we get to art objects may similarly be only partly
available to conscious
experience. You may deny you are attracted to a chap for all
sorts of socio-cultural
reasons but your hidden attraction to him may manifest itself as
a large SCR to his
photo (or sometimes, it may spill over when you dream during
REM sleep)!
Our experiment, then, is quite simple. Compare a subject’s SCR
to a caricature or
even just an outline drawing of, say, Einstein or Nixon to his
SCR to a photo of Ein-
stein or Nixon. Intuitively, one would expect the photo to
produce a large SCR
because it is rich in cues and therefore excites more modules.
One might find, para-
doxically, that the drawing actually elicits a larger SCR, and if
so, this would provide
evidence for our ideas on the peak shift effect — the artist has
unconsciously pro-
duced a super stimulus. As a control, one would show photos
which have been
morphed to look strange to ensure that it was not merely the
strangeness of the carica-
ture which was producing the larger SCR. Similarly, one could
also compare the mag-
THE SCIENCE OF ART 32
nitude of an SCR to caricatures of women (or indeed, to a Chola
bronze nude or a
Picasso nude) with the SCR to a photo of a nude woman. It is
conceivable that the sub-
ject might claim to find the photo more attractive at a conscious
level, while register-
ing a large ‘unconscious aesthetic response’ — in the form of a
larger SCR — to the
artistic representation. That art taps into the ‘subconscious’ is
not a new idea, but our
SCR measurements may be the first attempt to test such a notion
experimentally.
Another ‘experiment’ on art could take advantage of the fact
that many cells in the
inferotemporal cortex of monkeys respond selectively to
monkey (and human!) faces
— sometimes selectively just to a single face (Tovee et al.,
1996). Again, one could
try confronting the cell with a drawing or caricature of the
particular monkey (or
human) face it was responding to. Would the cell respond even
more vigorously to a
‘superstimulus’ of this kind?
Conclusion
In summary, we have identified a small subset of principles
underlying all the diverse
manifestations of human artistic experience. There are
undoubtedly many others (cf.
the principle of visual repetition or ‘rhythm’), but these eight
principles are a good
place to start. We shall call them ‘the eight laws of artistic
experience,’ based on a
loose analogy with the Buddha’s ‘eight-fold path’ to wisdom
and enlightenment.
One, the peak shift principle; not only along the form
dimension, but also along more
abstract dimensions, such as feminine/masculine posture, colour
(e.g. skin tones) etc.
Furthermore, just as the gull chick responds especially well to a
super beak that
doesn’t resemble a real beak, there may be classes of stimuli
that optimally excite
neurons that encode form primitives in the brain, even though it
may not be immedi-
ately obvious to us what these primitives are. Two, isolating a
single cue helps the
organism allocate attention to the output of a single module
thereby allowing it to
more effectively ‘enjoy’ the peak shift along the dimensions
represented in that mod-
ule. Three, perceptual grouping to delineate figure and ground
may be enjoyable in its
own right, since it allows the organism to discover objects in
noisy environments.
Principles such as figure–ground delineation, closure and
grouping by similarity may
lead to a direct aesthetic response because the modules may
send their output to the
limbic system even before the relevant objects has been
completely identified. Four,
just as grouping or binding is directly reinforcing (even before
the complete object is
recognized), the extraction of contrast is also reinforcing, since
regions of contrast
are usually information-rich regions that deserve allocation of
attention. Camouflage,
in nature, relies partly on this principle. Five, perceptual
‘problem solving’ is also
reinforcing. Hence a puzzle picture (or one in which meaning is
implied rather than
explicit) may paradoxically be more alluring than one in which
the message is obvi-
ous. There appears to be an element of ‘peekaboo’ in some
types of art — thereby
ensuring that the visual system ‘struggles’ for a solution and
does not give up too eas-
ily. For the same reason, a model whose hips and breasts are
about to be revealed is
more provocative than one who is completely naked. (E.g., in
Plate 6 the necklace just
barely covers the nipples and the dress is almost sliding off the
hips.) Six, an abhor-
rence of unique vantage points. Seven, perhaps most enigmatic
is the use of visual
‘puns’ or metaphors in art. Such visual metaphors are probably
effective because dis-
covering hidden similarities between superficially dissimilar
entities is an essential
33 V.S. RAMACHANDRAN AND W. HIRSTEIN
part of all visual pattern recognition and it would thus make
sense that each time such
a link is made, a signal is sent to the limbic system. Eight,
symmetry — whose rele-
vance to detecting prey, predator or healthy mates is obvious.
(Indeed, evolutionary
biologists have recently argued that detecting violations of
symmetry may help ani-
mals detect unhealthy animals that have parasites.)
One potential objection might be that originality is the essence
of art and our laws
do not capture this. But the flaw in this objection becomes
apparent when you con-
sider the analogy with language. After all the ‘deep structure’ of
language discovered
by Chomsky has enormously enriched our understanding of
language even if it
doesn’t explain Shakespeare, Valmiki, Omar Khayyam or Henry
James. Likewise,
our eight laws may help provide a framework for understanding
aspects of visual art,
aesthetics and design, even if they don’t necessarily explain the
evocativeness or
originality of individual works of art.
In conclusion, we suggest that a great deal of what we call art is
based on these
eight principles. We recognize, of course, that much of art is
idiosyncratic, ineffable
and defies analysis but would argue that whatever component of
art is lawful — how-
ever small — emerges either from exploiting these principles or
from a playful and
deliberate violation of them. We cannot resist concluding with a
joke: A young man
brings his fiancée home to introduce her to his father. His father
is astonished to note
that she has a clubfoot, a squint, a cleft palate and is
hunchbacked, and can hardly
conceal his dismay. Noticing his father’s reaction, his son
calmly tells him, ‘Well
Dad, what can I say? You either like a Picasso or you don’t.’
Acknowledgements
We thank Diane Rogers-Ramachandran, Francis Crick, Odile
Crick, Julia Kindy,
Mumtaz Jahan and Niki de Saint Phalle for stimulating
discussions on numerous
topics straddling the boundary between art and science. VSR
also thanks All Souls
College, Oxford, for a fellowship that allowed him to complete
this project.
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35 V.S. RAMACHANDRAN AND W. HIRSTEIN
V.S. Ramachandran
Sharpening Up ‘The Science of Art’
An Interview with Anthony Freeman
Introduction
Freeman: The article ‘The Science of Art’ by William Hirstein
and yourself
(Ramachandran and Hirstein, 1999) has proved one of the most
stimulating ever
published in JCS. Criticisms of it abound, so to focus your
response I will put to
you questions that summarize the chief points made by our
formal commentators
[see Journal of Consciousness Studies, 6 (6–7), 1999, and 7 (8–
9), 2000] and also
pick up other questions that are frequently asked about it. But
first I should like to
know what motivated you to write the paper — and did you
anticipate the reaction
it would provoke?
Ramachandran: We mainly did it for fun. Also we hoped the
essay would serve
to generate a useful dialogue between artists, neuroscientists,
perceptual psychol-
ogists and art historians — to bridge C.P. Snow’s two cultures.
The article was
intended to be whimsical, provocative and slightly tongue-in-
cheek, and to serve
as a starting point — it certainly wasn’t intended to be a
complete theory of art
(even assuming there is such a thing!). Judging from the
enormous number of
comments received — both in the journal and at subsequent
meetings on the topic
— it seems to me that our article has at the very least
accomplished our minimum
objective: to make some specific experimental predictions and
so to stimulate a
lively debate.
Freeman: What is your overall reaction to the tone and content
of the comments
and questions that have been thrown up?
Ramachandran: As one would expect, with such a wide range of
commentators,
some are favourable and others frown on the whole enterprise
— while at the
same time disagreeing among themselves or even contradicting
each other. My
general impression has been that scientists (e.g. psychologists
and neurologists)
find the essay stimulating whereas some art historians don’t.
But I was pleasantly
Journal of Consciousness Studies, 8, No. 1, 2001, pp. 9–29
Correspondence: V.S. Ramachandran, MD, Center for Brain and
Cognition, UCSD, La Jolla, CA
92093-0109, USA. Email: [email protected]
surprised to find that many practising artists also find the article
to be both inter-
esting and provocative. (‘It makes what we do seem less “crazy”
or ad hoc —
indeed it legitimizes what we do,’ was the way one artist put it
while commenting
on a lecture I recently gave at the Getty [Ramachandran,
2000b].)
I especially enjoyed reading the clear, cogent, and insightful
arguments of
Richard Gregory, Colin Martindale, Jaron Lanier, Julia Kindy,
Ron Mangun,
Jennifer McMahon and Amy Ione and would like to thank them
for taking the
time to respond.
When reading some of the critical commentaries I was reminded
of a story
about the great German physicist Hermann Von Helmholtz, the
first scientist to
propose the First Law of Thermodynamics — that energy can
neither be created
nor destroyed. Even though the ‘law of conservation of energy’
was starting to be
widely accepted it was violently opposed by many biologists
who argued that the
law applied only to non-living systems but not to living things.
So Helmholtz set
up an apparatus to measure the heat output of a living muscle
preparation and
showed that it did obey the first law just as well as an ‘ideal’ or
perfect machine
should. Amazingly, when he set up a demonstration of this at a
scientific meeting
in Germany, even many contemporary physicists (including
Joule and Carnot)
refused to believe the evidence before their eyes. Helmholtz
wrote home to a
friend: ‘Despite the evidence staring at them, not a single
member believed a
word of what I said. From the vehemence of their denials and
denunciations I now
know I must be right.’ The vigorous opposition to Helmholtz
was mainly the
result of the then prevailing strong anti-reductionist stance in
biology —
especially the superstitious belief that living things were
imbued with a mysteri-
ous ‘vital essence’ that rendered any application of scientific
laws — such as the
first law — inapplicable to them. One discerns a touch of the
same endearing
naivete in the responses of many social scientists to our essay
on the science of
art, for example in the comments of Ruth Wallen (who describes
herself as a
‘practising Buddhist’) who seems worried that a scientific
analysis of art might
detract from its spiritual dimension! (See further on p. 22
below.)
Incidentally, I am amazed at the willingness of Dr Goguen to
allow ‘Donnya
Wheelwell’ to publish her piece under a pseudonym — a
practice that is unheard
of in respectable academic circles (and despite his telling me
over the phone that a
pseudonym would not be used). If Ms Wheelwell really had
something interest-
ing to say, why hide behind a psudonym?1
Freeman: You have said that you mainly wrote the article ‘for
fun’, but I don’t
entirely believe that. I sense that you have a passionate and
deeply serious under-
lying commitment to the project you have begun.
Ramachandran: In publishing ‘The Science of Art’ we had one
main goal in
mind, namely to stimulate an interdisciplinary discussion and
debate between
neuroscientists, social ‘scientists’, artists and art historians on
the meaning of art
and the quest for artistic universals.
10 V.S. RAMACHANDRAN
[1] See pages 3–6 above for a discussion of editorial policy on
unsigned contributions — Editor.
Freeman: Doesn’t the attempt to discover ‘artistic universals’
negate the very
essence of art, which is after all a celebration of individuality,
not about what’s
common across people and cultures?
Ramachandran: My spelling out universal ‘laws’ of aesthetics
does not negate
the originality of the artist. I am merely asking what rules of
thumb the artist con-
sciously or unconsciously deploys. But which laws a given
artist chooses to
emphasize and how effectively she does it is entirely up to her
skill and original-
ity. Monet was a master of introducing peak shifts in colour
space whereas Henry
Moore was probably tapping into and exploiting form primitives
— analogous to
the stick with three stripes. By way of analogy consider two
‘universal laws’ in
poetry — metaphor and rhyme. Spelling out these laws does not
detract from the
fact that Shakespeare was better at deploying them than any
other human being.
(The only difference is that for universals in poetry, such as
rhyme, it is hard to
find the evolutionary rationale or neural underpinnings in the
manner I have tried
to do for the universal laws of visual art.) An even better
analogy is with
Chomsky’s discovery that there is a ‘universal grammar’
underlying all human
languages despite their surface diversity. His ideas have
enormously enriched our
knowledge of language, but no one would argue that the
existence of such univer-
sals detracts from Shakespeare’s originality.
Freeman: How did you — a neuroscientist — first become
interested in the
question of artistic universals? And didn’t you feel the need for
a formal training
in art history or the philosophy of aesthetics before embarking
on such a venture?
As things are, you surely run the risk of making simple mistakes
that give your
opponents an excuse to brush aside your more incisive remarks.
Ramachandran: My current work is in behavioural neurology
but most of my
earlier work in the last two decades was on human visual
perception — especially
its biological basis. I also enjoy and study Indian art as a hobby.
So it was quite
natural for me to become interested in artistic universals and the
underlying neu-
ral substrate. I became especially intrigued by the word rasa
that appears in
ancient Indian (Sanskrit) art manuals. The word is hard to
translate but roughly
means ‘Capturing the very essence of something in order to
evoke a specific emo-
tion or mood in the viewer’s brain’. I realized that to understand
the neural basis
of art one needs to understand rasa.
My lack of expertise in art history is both a disadvantage and an
advantage. A
disadvantage, perhaps, because it may lead me to ignore
stylistic historical trends
and the important cultural dimensions of art. An advantage,
because it is only by
deliberately ignoring the variations imposed by culture that one
can begin to
approach the question of whether or not there are universals and
it’s easier to
ignore something if you don’t know anything about it!
My point is not that culture is not important but that it’s what
most people study
— it’s called art history. On the other hand almost no real
progress has been made
in understanding universal principles that cut across cultures
and that’s what
interests me as a scientist. Even if only 10% of art turns out to
be lawful it’s that
SHARPENING UP ‘THE SCIENCE OF ART’ 11
10% that interests me, not the unlawful 90% that interests
sociologists and
historians. After all there are thousands of stodgy, boring
inaccessible tomes on
art history, styles, fads, etc., gathering dust on bookshelves, but
very little that is
intelligible and interesting about the universals.2 So while I
plead guilty to ignor-
ing the complexities imposed by culture, I would point out that
my decision to do
so was deliberate. And I would argue that my ignorance of art
history (especially
Western art) is an advantage since it has perhaps allowed me to
approach the
problem with fresh unprejudiced eyes.
Freeman: But why is this debate so important to you?
Ramachandran: The history of science may be seen as a long
succession of
attempts to banish vitalism from our understanding of Nature.
People said that
living things could never be understood in terms of chemistry
because there was a
mysterious élan vitale, ‘entelechy’ or vital spirit, but the
discovery of DNA’s
structure changed all this. Likewise it was widely believed that
even though we
may someday understand all the functions of the brain, we can
never explain the
‘soul’ or consciousness. This challenge too has been taken up
(e.g. Crick and
Koch, 1998) and few educated people now believe in a
nonmaterial soul. Now
with regard to art, the easy way out is to say, ‘Well, it will
always remain ineffable
and mysterious’ — as some of the commentaries on our essay
imply. On the other
hand it requires guts to say, ‘Well, maybe that’s true and
eventually we will come
up against an epistemological barrier, but even if that is so, I
would prefer to forge
ahead in my quest for laws until I do confront that barrier.’ This
is why I regard
Zeki’s efforts to understand art as so important, even though he
doesn’t have all
the answers. Saying ‘it will always remain mysterious’ is the
easy way out.
Prediction and Experimental Testability
Freeman: You lay great emphasis on the claim that your ideas
entail predictions
that are experimentally testable. Can you elaborate on this with
concrete examples?
Ramachandran: Yes, at least some of the ideas in our essay
make very specific
counterintuitive predictions — and that’s what sets these apart
from the vague
ideas of philosophers and even vaguer ideas of art historians.
Let me take up a challenge that would, at first sight, seem
almost unapproach-
able by science: cubism. It has long been known that cubism
liberates the viewer
from the tyranny of a single viewpoint by presenting two or
more ‘views’ of an
object or face squished into a single plane — so as to be seen
from a single
vantage point. So a Picasso portrait might show a profile face
and a frontal view
simultaneously in a single image (see, e.g., Zeki, 1999).
However what no art
scholar or scientist has asked is why such a simultaneous
depiction of two views
should be actually more pleasing to the observer than any single
view, even
though it looks ‘unrealistic’. One option would be to suggest
that cubism is not all
that pleasing and that it’s the result of propaganda and culture
— indeed Zeki
12 V.S. RAMACHANDRAN
[2] See below for some notable exceptions, e.g. work by
Gregory, Arnheim, Gombrich, Humphrey, Zeki.
speaks of it as a ‘failure’. But following my line of reasoning
about the ‘super
beaks’ that gull chicks respond to, I can make a specific
physiological prediction
concerning cubism (Ramachandran, 2000a,b).
First I would emphasize that the ‘super beak’ idea is not the
same as ‘carica-
ture’ or hyperbole. The key difference is that in the latter it is
obvious what
dimension is being exaggerated (‘peak shift’) whereas in the
former the super-
stimulus bears no obvious relationship to the original stimulus
to which the
organism has evolved (or learnt) to respond. That is to say, from
looking at a real
beak you couldn’t have predicted that a long stick with three
stripes is the optimal
configuration for driving the neurons. And I suggest that this
idiosyncratic
response is a sort of spandrel — it has something to do with
neurons using certain
primitive rules or ‘shortcuts’ to detect beaks quickly and
adequately with high
probability and without too many false positives. The system is
adequate but not
optimal (and certainly not infallible). Indeed all that’s required
is that the neurons
have a high enough ‘hit rate’ in detecting beaks that they leave
behind enough
genes for the next generation of gulls. (We need a new name for
this so lets call it
‘hypernormal stimuli’.)
Freeman: Is the response to the beak learnt or present at birth in
the chick’s brain?
Ramachandran: It is present at birth. But my notion of ‘hyper-
stimuli’ would
apply even to learnt visual patterns — e.g. specific faces. For
instance, a large
proportion of cells in a certain part of the fusiform gyrus
(inferotemporal cortex)
of the monkey respond to faces in a highly selective manner and
not to other
things (e.g. pigs, chairs or bananas). Each cell will respond only
to one view of a
particular face, e.g. ‘boss’ or ‘infant’ or ‘Monkey A’ or
‘Monkey B’, with differ-
ent cells responding to different faces. In addition there are
many different cells
responding to a given face — with each cell responding to
different view of that
same face, e.g. frontal view, semiprofile or full profile (Rolls,
1999). But at the
subsequent stage in processing, in the next visual area in the
hierarchy, a new type
of cell is seen that will respond to any view of a given face —
e.g. mother or mon-
key A or B (and different cells respond to different faces).
These ‘master face
cells’ (as I call them) are of course what the monkey ultimately
needs — for it
needs to detect the mother’s presence no matter what direction
she is looking.
Now how do you ‘construct’ or wire up one of these master face
cells? In all like-
lihood you pool the outputs of several regular face cells each of
which responds to
a different view of the same face. So you take the output of all
the regular single-
view face cells corresponding to a given face and have these
output axons con-
verge on to a single master face neuron for that face. The net
result of such a con-
vergence would be that the master cell in question responds
equally well to any
view of that face — which is what you want.
Freeman: But what has all this to do with cubism and Picasso?
Ramachandran: In order to see that, first consider this fact.
When a conver-
gence of axons from several ‘regular’ face cells occurs on a
single master cell,
nature (or evolution) is not going to go through all the trouble
of ensuring that the
SHARPENING UP ‘THE SCIENCE OF ART’ 13
convergence results in a perfect ‘OR-gate’. On the contrary it
may well be that if
both views are simultaneously presented to the master cell then
the converging
inputs from the two corresponding regular ‘single view’ cells
may simply add lin-
early — until saturation. This means you would be
hyperactivating the master
neuron in a manner that could never occur in nature
(Ramachandran, 2000a,b). So
this master face neuron may scream out loud (so to speak)
‘WOW — what a face!’
and excite the limbic system correspondingly. Now the
advantage with this expla-
nation is that it can be tested experimentally.
Neuroscientists at Oxford and Princeton are currently recording
from both
types of cells in these very areas. My prediction is that if you
find a regular face
cell, it should get excited by regular faces but not any more so
by a Picasso face
(since only one of the views will excite the cell). But if you go
to the master cell,
where convergence of many views occurs, then that cell will not
only respond to
any individual view but even better to two views presented
simultaneously as in a
cubist portrait! I am especially fond of this example because
often when I give
talks a social ‘scientist’ will raise his (or her) hand and say,
‘You scientists are
reductionists. You may explain atoms and molecules using
string theory, you may
explain heredity using DNA — maybe even aspects of the mind,
such as memory
in sea slugs — but you can never explain a Picasso!’ Well what
I have proposed
above is nothing less than a specific testable theory of Picasso,
in neural terms.
Freeman: But it may turn out that your explanation is wrong.
Ramachandran: Yes — and that is the beauty of it! In that case
it’s at least
wrong: one can show for sure that it is wrong! And you can’t
say that for 99% of
the philosophical theories of aesthetics and art. To my
knowledge this is the first
clear cut experimental prediction on cubism that has been ever
proposed.
Freeman: Your enthusiam is contagious, but if your ideas about
Picasso are
correct, then why doesn’t everyone like Picasso?
Ramachandran: This is an important question. The surprising
answer might be
that everyone does ‘like’ Picasso but not everyone knows it!
The key to under-
standing this is to realize that the brain has many quasi-
independent ‘modules’
that can at times signal inconsistent information. It may well be
that all of us have
the basic neural circuits in the fusiform (and especially at the
next stage) i.e. the
‘master face neurons’ that would show a heightened response to
Picasso, but per-
haps in many of us other ‘higher’ cognitive systems (e.g. the
interpreter in the left
hemisphere) might kick in and censor or veto the output of the
face neurons by
saying, in effect, ‘There is something wrong with this face —
two eyes cannot
possibly occur on a profile — so ignore that signal from the
master face cells even
though it is very strong’. In short I am saying all of us do like
Picasso but many of
us are ‘in denial ‘about it, and as I have argued elsewhere
‘denial’ is much more
widespread than people realize. For instance polls show that
roughly 95% of peo-
ple think their intelligence is ‘above average’ — a mathematical
impossibility.
The finding implies that almost half of mankind is in denial
about its stupidity!
Likewise I would argue that even people who claim not to like
Picasso are closet
14 V.S. RAMACHANDRAN
Picasso enthusiasts and this could in principle be tested with
brain imaging and
GSR — it’s not an untestable assertion.
Let me make a second prediction and that concerns the
exaggerated ‘feminine
pose’ or sense of movement rhythm and dance seen in certain
Indian sculptures
(see my article for examples) as well as Western sculptures, e.g.
Degas. I suggest
these are hyper-normal stimuli for a system of cells called
‘mirror neurons’ in the
frontal lobes of primates. Certain cells in the monkey’s ventral
premotor area
respond when the monkey performs actions such as ‘pulling’,
‘reaching for a pea-
nut’, etc., i.e. they are motor ‘command’ neurons for initiating
and orchestrating
complex sequences of movement. Now Rizzolati has shown that
a subset of these
— called ‘mirror neurons’ — will be activated even if the
monkey doesn’t move
his hand but watches another ‘model’ monkey perform that very
same action, i.e.
it’s a ‘monkey see monkey do’ neuron. Similarly, there may be
neurons that
respond optimally to the adoption of certain postures by the
other monkey. It was
as though the neuron was doing an internal VR simulation in
order to ‘read’ the
model monkey’s ‘intention’. To create a work of art that takes
advantage of these
principles, I suggest that one exploit two laws — ‘isolation’ and
‘peak shift’ — in
order to hyperstimulate E, the mirror neuron system in humans.
To do this one
could create point light displays mounted on the ‘model’
human’s joints as she
performs complex movements (e.g. dance) or adopts certain
poses (‘isolation’)
analogous to displays used by Johannson (1975) and then
introduce postural peak
shifts or exaggeration in these displays. This would serve as a
hyper-optimal
stimulus for the mirror neurons and I predict it would be
aesthetically more pleas-
ing than watching a real woman adopt corresponding poses or
movements.
Lastly I would emphasize that the idea that art involves
exaggeration or hyper-
bole is hardly new. What is novel here is the idea that the more
effective stimulus
that hyperactivates the visual cells need not bear any obvious
resemblance to the
thing being depicted (e.g. stick with three stripes = beak) and
may, instead, reflect
the manner in which that cell is ‘wired up’ to take certain short-
cuts in processing
visual images. Indeed certain fish will respond most vigorously
to a blue dot
painted on a fish of the opposite sex even though there is
nothing resembling that
blue dot on the original! Perhaps abstract art taps into such
form and colour primi-
tives in human vision (and the idea can be tested by experiments
of the kind out-
lined above for Picasso).
Also, as we argue in our essay, both the idea of ‘peak shift’ and
the idea of
‘hypernormal stimuli’ (like the stick with three stripes) can be
extended to
domains other than ‘form’ — e.g. colour (Monet and Van Gogh)
or movements
(in dance) — i.e. to domains to which the idea may initially
seem inapplicable.
Indeed it is likely that there are visual areas (or neurons) in the
brains of primates
that extract other visual primitives that are even less obvious,
such as light and
shade, highlights, skin texture, etc., and one often sees
renaissance paintings that
deliberately exaggerate or produce ‘hypernormal’ versions of
these very charac-
teristics — e.g. an old man with anatomically impossible
wrinkles, absurdly
accentuated highlights on a shiny face or eyes, rippling, grossly
hypertrophied
muscles, or a pink flush that is almost too healthy (Boucher).
Deeply accentuated
SHARPENING UP ‘THE SCIENCE OF ART’ 15
(and physically impossible) shading is also often used to
artificially heighten the
sense of 3-D form and depth. Without these extra touches you
just have realism —
not art. (And conversely if these laws are deployed
inappropriately you get kitsch
art and tacky art.) Some people have argued that what is kitsch
and what is sophis-
ticated is a matter of convention and culture but I disagree. The
evidence against
this is that one can mature from initially liking kitsch to liking
more sophisticated
art but one cannot usually slide backwards to kitsch (which
implies that there is
something genuinely ‘better’ about the former). Other aspects of
aesthetics,
besides art, may also exploit ‘peak shifts’. E.g. lip stick and
rouge emphasize that
a potential mate is not anemic and is therefore fertile.
Belladonna enlarges pupils
and glitter sprinkled on the skin looks like sweat — simulating
sexual arousal.
Freeman: As an aside, your speaking of sea gulls and
impressing chicks raises
the question, Do animals have art?
Ramachandran: I wouldn’t rule it out. Male bower birds in New
Guinea and
Australia build elaborate and very ornate bowers decorated with
brightly col-
oured berries, shiny bits of metal (Ramachandran and Hirstein,
1999), lustrous
feathers and pebbles, etc. Even a cursory examination reveals
many of my laws at
work, e.g. grouping (similar coloured pebbles or berries are
grouped close
together) and clusters of shiny metallic bits may be
hyperactivating certain
neurons just like a Picasso face does for us (signalling the
presence of water or
dew perhaps?). I don’t see all that big a difference between the
creations of these
birds and much of what passes for contemporary art in Madison
Avenue or Santa
Fe (although, in saying this, I do feel a bit like the little boy
who said the emperor
has no clothes!).
Originality
Freeman: I have also played the role of that little boy in my own
discipline of
theology, and one of the defences put up against me by the
‘establishment’ was to
claim my ideas were actually nothing new, and therefore could
be ignored. You
seem to be vulnerable to a similar accusation. For instance, you
open your essay
by saying that the goal of art is not realism, that is to say it’s
not to copy some-
thing. Surely this is not an original observation.
Ramachandran: Of course it’s not original — we were not even
trying to be
original — this was just a rhetorical opening line, nothing more.
But you would be
amazed at how widespread this misconception of art was, and
indeed still is. As
we say in our essay, Victorian Englishmen often criticized
Indian sculptures
because of lack of anatomical realism (‘multi-armed
monstrosities’ to quote one
eminent bard). For example, they thought that Chola bronzes
and ‘mediaeval’
stone sculptures of women were too voluptuous — with
enormous breasts and
hips — for their delicate Victorian sensibilities. How ironic,
then, that it was at
just this time that corsets were introduced in England. Women
even had their
lower ribs removed surgically to accentuate their bust and hips
to impress those
16 V.S. RAMACHANDRAN
very men who were criticizing statues of Indian goddesses for
having precisely
the same attribute — too narrow a waist!
Freeman: Does that mean you are not claiming any of your ideas
are original?
Ramachandran: I am tempted to quote Gerald Edelman, who
once said, ‘If I
have seen further, it is by standing on the heads of pygmies.’
On a more serious
note, our article of course builds on the earlier work of many
eminent scholars,
especially Rudolf Arnheim, Ernst Gombrich, Richard Gregory
and Roland
Penrose, all of whom have written extensively and eloquently
about art. I was
especially intrigued by the ingenious recent speculations on art
by the physiolo-
gist Semir Zeki — particularly his insight that neurons in the
visual pathways
often seem to do exactly what the artist himself is trying to do,
e.g. the extraction
of contrast. (Although I part company with him on certain
specifics. For instance,
he says cubism was a failure whereas I present I very specific
explanation of why
cubism is a success and offer a precise mechanism in terms on
neural circuitry.)
But one also needs to address the question of why the artist’s
‘mimicking’ what
the neurons are doing should be pleasing to the organism. For
this one needs to
borrow ideas from computational vision and evolutionary
biology. A proper
answer to why requires teleology.
Freeman: We all owe a general debt to earlier research, but
haven’t some of your
quite specific ideas been proposed before? For example, one of
your laws is
‘grouping’. Wasn’t this well known to the Gestaltists?
Ramachandran: Yes, indeed we owe a major dept to the
Gestaltists and much of
this has been expounded to modern audiences by Arnheim and
Gombrich. Many
of the ‘laws’ I have described have indeed been foreshadowed
by others and I cite
all those that I am aware of. One must be careful, however, not
to read too much
(by hindsight) into these early glimmerings. For example one
could argue that the
so-called Pythagoras theorem is already implied in the first
axioms of Euclid, but
we still give Pythagoras the credit for making it explicit.
(Incidentally, this theo-
rem was already known to Indian mathematicians a millennium
earlier, but we
call it ‘Pythagoras theorem’ because the Indians did not have a
proof — only
Pythagoras did.) Likewise the atomic theory was known to Jains
in India several
hundred years before Christ, but we usually credit Dalton (who
himself drew on
the ancient Greek Epicureans) because he was the first to
marshall all the evi-
dence in its favour into a comprehensive scientifically testable
scheme.
Secondly, we believe that some of the laws we propose (and
certainly the spe-
cific experimental tests) are in fact completely new, to the best
of our knowledge.
Thirdly, our goal is not so much to propose an entirely new
theory of art as to
bring together strands of evidence from seemingly unrelated
disciplines such as
single unit neurophysiology, ethology, perceptual psychology
and evolutionary
biology. And judging from the volume of responses received, it
seems to have
served as a forum for debate between scholars from all these
diverse disciplines.
More specifically, I argue that in order to understand any
complex mental attrib-
ute in humans — be it humour, art, dance, or sex, one needs to
have in place three
SHARPENING UP ‘THE SCIENCE OF ART’ 17
cornerstones: First, the underlying functional logic (e.g. what I
call ‘laws’). Sec-
ond, the evolutionary rationale, i.e., speaking teleologically,
why do the laws
have the ‘form’ that they do? (e.g. evolution has wired into your
brain the ‘rule’
that grouping is pleasing and attention grabbing). Third, an
understanding of what
is the neural hardware in the brain that mediates the law in
question. As a specific
example of these three ‘corners’ of an argument consider the
following.
In the ‘law of grouping’, the functional logic is to link scattered
fragments into
a whole. It’s evolutionary rationale is to help defeat camouflage
and find objects
in noisy environments: vision evolved in our primate ancestors
mainly to find
objects quickly and efficiently but not infallibly. And third, we
suggest that as
soon as the fragments are bound, there is a synchronization of
neuronal spikes of
those neurons (Singer and Grey, 1995) that fire for different
parts of an object and
it is this synchrony that causes an ‘AHA’ reward signal to be
sent to the limbic
system (Ramachandran and Hirstein, 1999). So while most
artists, fashion
designers and art historians may be aware of the grouping law
they may not be
aware of the evolutionary rationale nor of the neural mechanism
(synchrony of
spikes causing a reward signal to be sent to the limbic system).
And we attempt to
do this not just for grouping but for all eight of our laws.
Finally, as Richard Gregory points out in his commentary, we
make novel pre-
dictions and propose specific experimental tests (e.g. our
physiological experi-
ment on Picasso). Without such empirical tests, ‘theories’ of art
are merely
intellectual exercises of the kind philosophers engage in.
Freeman: Aren’t some of your principles well known to
practising artists? For
example, what you call ‘isolation’ or minimalism is surely very
familiar.
Ramachandran: I don’t deny that some of my laws have been
foreshadowed by
others and some have even been explicitly stated. But what I
have tried to do is to
spell out each law in considerable detail, point out its logical
consequences,
explore the evolutionary rationale of the law and (when
possible) propose physio-
logical mechanisms and experimental predictions. Each of these
approaches on
its own is insufficient. Let me illustrate what I mean using three
of my laws,
isolation, symmetry, and ‘peekaboo’ (or perceptual problem
solving), all of
which are well known to artists. We also need to avoid internal
contradictions
among the ‘laws’ — e.g. isn’t the principle of isolation or
minimalism (‘less is
more’) the very antithesis my other law of ‘peak shift’ or
hyperbole or exaggera-
tion? No it isn’t, and I will explain why.
Artists have long known that an outline sketch can be very
V.S. Ramachandran and William HirsteinThe Science of Art.docx
V.S. Ramachandran and William HirsteinThe Science of Art.docx
V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx
V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx
V.S. Ramachandran and William HirsteinThe Science of Art.docx
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V.S. Ramachandran and William HirsteinThe Science of Art.docx

  • 1. V.S. Ramachandran and William Hirstein The Science of Art A Neurological Theory of Aesthetic Experience We present a theory of human artistic experience and the neural mechanisms that mediate it. Any theory of art (or, indeed, any aspect of human nature) has to ideally have three components. (a) The logic of art: whether there are universal rules or principles; (b) The evolutionary rationale: why did these rules evolve and why do they have the form that they do; (c) What is the brain circuitry involved? Our paper begins with a quest for artistic uni- versals and proposes a list of ‘Eight laws of artistic experience’ — a set of heuristics that artists either consciously or unconsciously deploy to optimally titillate the visual areas of the brain. One of these principles is a psychological phenomenon called the peak shift effect: If a rat is rewarded for discriminating a rectangle from a square, it will respond
  • 2. even more vigorously to a rectangle that is longer and skinnier that the prototype. We sug- gest that this principle explains not only caricatures, but many other aspects of art. Exam- ple: An evocative sketch of a female nude may be one which selectively accentuates those feminine form-attributes that allow one to discriminate it from a male figure; a Boucher, a Van Gogh, or a Monet may be a caricature in ‘colour space’ rather than form space. Even abstract art may employ ‘supernormal’ stimuli to excite form areas in the brain more strongly than natural stimuli. Second, we suggest that grouping is a very basic principle. The different extrastriate visual areas may have evolved specifically to extract correla- tions in different domains (e.g. form, depth, colour), and discovering and linking multiple features (‘grouping’) into unitary clusters — objects — is facilitated and reinforced by direct connections from these areas to limbic structures. In general, when object-like enti- ties are partially discerned at any stage in the visual hierarchy, messages are sent back to
  • 3. earlier stages to alert them to certain locations or features in order to look for additional evidence for the object (and these processes may be facilitated by direct limbic activa- tion). Finally, given constraints on allocation of attentional resources, art is most appeal- ing if it produces heightened activity in a single dimension (e.g. through the peak shift principle or through grouping) rather than redundant activation of multiple modules. This idea may help explain the effectiveness of outline drawings and sketches, the savant syndrome in autists, and the sudden emergence of artistic talent in fronto-temporal dementia. In addition to these three basic principles we propose five others, constituting a total of ‘eight laws of aesthetic experience’ (analogous to the Buddha’s eightfold path to wisdom). Journal of Consciousness Studies, 6, No. 6-7, 1999, pp. 15–51 Correspondence: V.S. Ramachandran, Center For Brain and Cognition, University of California, San Diego, La Jolla, CA 92093-0109, USA.
  • 4. ‘Everyone wants to understand art. Why not try to understand the song of a bird?’ Pablo Picasso Introduction If a Martian ethologist were to land on earth and watch us humans, he would be puz- zled by many aspects of human nature, but surely art — our propensity to create and enjoy paintings and sculpture — would be among the most puzzling. What biological function could this mysterious behaviour possible serve? Cultural factors undoubt- edly influence what kind of art a person enjoys — be it a Rembrandt, a Monet, a Rodin, a Picasso, a Chola bronze, a Moghul miniature, or a Ming Dynasty vase. But, even if beauty is largely in the eye of the beholder, might there be some sort of univer- sal rule or ‘deep structure’, underlying all artistic experience? The details may vary from culture to culture and may be influenced by the way one is raised, but it doesn’t follow that there is no genetically specified mechanism — a
  • 5. common denominator underlying all types of art. We recently proposed such a mechanism (Ramachandran and Blakeslee, 1998), and we now present a more detailed version of this hypothesis and suggest some new experiments. These may be the very first experiments ever designed to empirically investigate the question of how the brain responds to art. Many consider art to be a celebration of human individuality and to that extent it may seem like a travesty to even search for universals. Indeed theories of visual art range from curious anarchist views (or even worse, ‘anything goes’) to the idea that art provides the only antidote to the absurdity or our existence — the only escape, per- haps, from this vale of tears (Penrose, 1973). Our approach to art, in this essay, will be to begin by simply making a list of all those attributes of pictures that people gener- ally find attractive. Notwithstanding the Dada movement, we can then ask, Is there a common pattern underlying these apparently dissimilar
  • 6. attributes, and if so, why is this pattern pleasing to us? What is the survival value, if any, of art? But first let us clear up some common misconceptions about visual art. When the English colonizers first arrived in India they were offended by the erotic nudes in temples; the hips and breasts were grossly hypertrophied, the waist abnormally thin (Plate 1). 1 Similarly the Rajasthani and Moghul miniature paintings were considered primitive because they lacked perspective. In making this judgement they were, of course, unconsciously comparing Indian art with the ideals of Western representa- tional art — Renaissance art in particular. What is odd about this criticism though, is that it misses the whole point of art. The purpose of art, surely, is not merely to depict or represent reality — for that can be accomplished very easily with a camera — but to enhance, transcend, or indeed even to distort reality. The
  • 7. word ‘rasa’ appears repeatedly in Indian art manuals and has no literal translation, but roughly it means ‘the very essence of.’ So a sculptor in India, for example, might try to portray the rasa of childhood (Plate 2), or the rasa of romantic love, or sexual ecstasy (Plate 3), or feminine grace and perfection (Plate 4). The artist is striving, in these images, to strongly evoke a direct emotional response of a specific kind. In Western art, the ‘discovery’ of non-representational abstract art had to await the arrival of Picasso. His nudes were also grotesquely distorted — both eyes on one side of the face for example. Yet when Picasso did it, the Western art critics heralded his attempts to THE SCIENCE OF ART 16 [1] Plates will be found together on pp. 36–41 of this offprint booklet. ‘transcend perspective’ as a profound new discovery — even though both Indian and
  • 8. African art had anticipated this style by several centuries! We suggest in this essay that artists either consciously or unconsciously deploy cer- tain rules or principles (we call them laws) to titillate the visual areas of the brain. Some of these laws, we believe, are original to this article — at least in the context of art. Others (such as grouping) have been known for a long time and can be found in any art manual, but the question of why a given principle should be effective is rarely raised: the principle is usually just presented as a rule-of- thumb. In this essay we try to present all (or many) of these laws together and provide a coherent biological framework, for only when they are all considered simultaneously and viewed in a bio- logical context do they begin to make sense. There are in fact three cornerstones to our argument. First, what might loosely be called the ‘internal logic’ of the phenome- non (what we call ‘laws’ in this essay). Second, the evolutionary rationale: the ques- tion of why the laws evolved and have that particular form (e.g.
  • 9. grouping facilitates object perception). And third, the neurophysiology (e.g. grouping occurs in extrastri- ate areas and is facilitated by synchronization of spikes and direct limbic activation). All three of these need to be in place — and must inform each other — before we can claim to have ‘understood’ any complex manifestation of human nature — such as art. Many earlier discussions of art, in our view, suffer from the shortcoming that they view the problem from just one or two of these perspectives. We should clarify at the outset that many aspects of art will not be discussed in this article — such as matters concerning style. Indeed it may well be that much of art really has to do with aggressive marketing and hype, and this inevitably introduces an element of arbitrariness that complicates the picture enormously. Furthermore the artistic ‘universals’ that we shall consider are not going to provide an instant formula for distinguishing ‘tacky’ or ‘tourist’ art, that hangs in the lobbies of business execu-
  • 10. tives, from the genuine thing — even though a really gifted artist could do so instantly — and until we can do that we can hardly claim to have ‘understood’ art. Yet despite these reservations, we do believe that there is at least a component to art — however small — that IS lawful and can be analysed in accordance with the principles or laws outlined here. Although we initially proposed these ‘laws’ in a playful spirit, we were persuaded that there is enough merit in them to warrant publication in a philosophical journal. If the essay succeeds in stimulating a dialogue between artists, visual physi- ologists and evolutionary biologists, it will have adequately served its purpose. The Essence of Art and the Peak Shift Principle Hindu artists often speak of conveying the rasa, or ‘essence’, of something in order to evoke a specific mood in the observer. But what exactly does this mean? What does it mean to ‘capture the very essence’ of something in order to ‘evoke a direct emotional
  • 11. response’? The answer to these questions, it turns out, provides the key to understand- ing what art really is. Indeed, as we shall see, what the artist tries to do (either con- sciously or unconsciously) is to not only capture the essence of something but also to amplify it in order to more powerfully activate the same neural mechanisms that would be activated by the original object. As the physiologist Zeki (1998) has elo- quently noted, it may not be a coincidence that the ability of the artist to abstract the ‘essential features’ of an image and discard redundant information is essentially iden- tical to what the visual areas themselves have evolved to do. 17 V.S. RAMACHANDRAN AND W. HIRSTEIN Consider the peak shift effect — a well-known principle in animal discrimination learning. If a rat is taught to discriminate a square from a rectangle (of say, 3:2 aspect ratio) and rewarded for the rectangle, it will soon learn to respond more frequently to
  • 12. the rectangle. Paradoxically, however, the rat’s response to a rectangle that is even longer and skinnier (say, of aspect ratio 4:1) is even greater than it was to the original prototype on which it was trained. This curious result implies that what the rat is learning is not a prototype but a rule, i.e. rectangularity. We shall argue in this essay that this principle holds the key for understanding the evocativeness of much of visual art. We are not arguing that it’s the only principle, but that it is likely to be one of a small subset of such principles underlying artistic experience. How does this principle — the peak shift effect — relate to human pattern recogni- tion and aesthetic preference? Consider the way in which a skilled cartoonist pro- duces a caricature of a famous face, say Nixon’s. What he does (unconsciously) is to take the average of all faces, subtract the average from Nixon’s face (to get the differ- ence between Nixon’s face and all others) and then amplify the differences to produce a caricature. The final result, of course, is a drawing that is
  • 13. even more Nixon-like than the original. The artist has amplified the differences that characterize Nixon’s face in the same way that an even skinnier rectangle is an amplified version of the original prototype that the rat is exposed to. This leads us to our first aphorism: ‘All art is cari- cature’. (This is not literally true, of course, but as we shall see, it is true surprisingly often.) And the same principle that applies for recognizing faces applies to all aspects of form recognition. It might seem a bit strange to regard caricatures as art but take a second look at the Chola bronze — the accentuated hips and bust of the Goddess Par- vati (Plate 1) and you will see at once that what you have here is essentially a carica- ture of the female form. There may be neurons in the brain that represent sensuous, rotund feminine form as opposed to angular masculine form and the artist has chosen to amplify the ‘very essence’ (the rasa) of being feminine by moving the image even further along toward the feminine end of the female/male
  • 14. spectrum (Plate 4). The result of these amplifications is a ‘super stimulus’ in the domain of male/female differences. It is interesting, in this regard, that the earliest known forms of art are often caricatures of one sort or another; e.g. prehistoric cave art depicting animals like bison and mammoths, or the famous Venus ‘fertility’ figures. As a further example, look at the pair of nudes in Plate 5, a sculpture from Northern India (circa 800 AD). No normal woman can adopt such contorted postures and yet the sculpture is incredibly evocative — beautiful — capturing the rasa of feminine poise and grace. To explain how he achieves this effect, consider the fact that certain pos- tures are impossible (and unlikely) among men but possible in women because of cer- tain anatomical differences that impose constraints on what can or cannot be done. Now in our view what the artist has done here is to subtract the male posture from the female posture to produce a caricature in ‘posture space’ thereby amplifying ‘fem-
  • 15. inine posture’ and producing a correspondingly high limbic activation. The same can be said of the dancer in Plate 6 or for the amorous couple (Plate 7). Again, even though these particular, highly stylized anatomical poses are impossible (or unlikely) it is very evocative of the ‘Sringara Rasa’ or ‘Kama rasa’ (sexual and amorous ecstasy) because the artist is providing a ‘caricature’ that exaggerates the amorous pose. It is as though the artist was been able to intuitively access and powerfully stimulate neural mechanisms in the brain that represent ‘amorousness’. THE SCIENCE OF ART 18 A posture space might be realized in the form of a large set of remembered postures of people one has observed. (Whether one might expect such a memory mapping to exist in the ‘dorsal’ stream of visual processing, which connects with the agent’s own body representations, or the ‘ventral’ stream, known to be used
  • 16. for face perception, is an interesting question; perhaps the answer is, both). There is an obvious need to con- nect these posture representations to the limbic system: it is quite imperative that I recognize an attack posture, a posture — or body position — which beckons me, or one which indicates sadness or depression, etc. The sculptors of Plates 5 and 6 relied on this represented posture space in creating their works. The sculptor knows, con- sciously or not, that the sight of those postures will evoke a certain sort of limbic acti- vation when the posture is successfully represented in the posture space system — he tells a story in this medium, we might say. Until now we have considered caricatures in the form domain, but we know from the pioneering work of many physiologists (Zeki, 1980; see also Livingstone and Hubel, 1987; Allman & Kaas, 1971; Van Essen & Maunsell, 1980) that the primate brain has specialized modules concerned with other visual modalities such as colour
  • 17. depth and motion. Perhaps the artist can generate caricatures by exploiting the peak shift effect along dimensions other than form space, e.g., in ‘colour space’ or ‘motion space’. For instance consider the striking examples of the plump, cherub-faced nudes that Boucher is so famous for. Apart from emphasizing feminine, neotonous baby- like features (a peak shift in the masculine/feminine facial features domain) notice how the skin tones are exaggerated to produce an unrealistic and absurd ‘healthy’ pink flush. In doing this, one could argue he is producing a caricature in colour space, particularly the colours pertaining to male/female differences in skin tone. Another artist, Robert, on the other hand, pays little attention to colour or even to form, but tends to deliberately overemphasize the textural attributes of his objects, be they bricks, leaves, soil, or cloth. And other artists have deliberately exaggerated (‘caric- atured’ or produced peak shifts in) shading, highlights, illumination etc to an extent
  • 18. that would never occur in a real image. Even music may involve generating peak shifts in certain primitive, passionate primate vocalizations such as a separation cry; the emotional response to such sounds may be partially hard- wired in our brains. A potential objection to this scheme is that it is not always obvious in a given pic- ture what the artist is trying to caricature, but this is not an insurmountable objection. Ethologists have long known that a seagull chick will beg for food by pecking at its mother’s beak. Remarkably, it will peck just as vigorously at a disembodied beak with no mother attached or even a brown stick with a red dot at the end (the gull’s beak has a vivid red spot near the tip). The stick with the red dot is an example of a ‘releasing stimulus’ or ‘trigger feature’ since, as far as the chick’s visual system is concerned this stimulus is as good as the entire mother bird. What is even more remarkable, though, was Tinbergen’s discovery (Tinbergen, 1954) that a very long, thin brown
  • 19. stick, with three red stripes at the end is even more effective in eliciting pecks than the original beak, even though it looks nothing like a beak to a human observer. The gull’s form recognition areas are obviously wired-up in such a way that Tinber- gen had inadvertently produced a super stimulus, or a caricature in ‘beak space’ (e.g. the neurons in the gull’s brain might embody the rule ‘more red contour the better’). Indeed, if there were an art gallery in the world of the seagull, this ‘super beak’ would qualify as a great work of art — a Picasso. Likewise, it is possible that some types of 19 V.S. RAMACHANDRAN AND W. HIRSTEIN art such as cubism are activating brain mechanisms in such a way as to tap into or even caricature certain innate form primitives which we do not yet fully understand. 2 At present we have no idea what the ‘form primitives’ used by the human visual path-
  • 20. ways are, but we suggest that many artists may be unconsciously producing height- ened activity in the ‘form areas’ in a manner that is not obvious to the conscious mind, just as it isn’t obvious why a long stick with three red stripes is a ‘super beak’. Even the sunflowers of Van Gogh or the water lilies of Monet may be the equivalent — in colour space — of the stick with the three stripes, in that they excite the visual neu- rons that represent colour memories of those flowers even more effectively than a real sunflower or water lily might. There is also clearly a mnemonic component of aesthetic perception, including, the autobiographical memory of the artist, and of her viewer, as well as the viewer’s more general ‘cognitive stock’ brought to his encounter with the work. This general cogni- tive stock includes the viewer’s memory of his encounters with the painting’s etio- logical forebears, including those works that the artist himself was aware of. Often paintings contain homages to earlier artists and this concept of
  • 21. homage fits what we have said about caricature: the later artist makes a caricature of his acknowledged predecessor, but a loving one, rather than the ridiculing practised by the editorial car- toonist. Perhaps some movements in the history of art can be understood as driven by a logic of peak shift: the new art form finds and amplifies the essence of a previous one (sometimes many years previous, in the case of Picasso and African art). 3 THE SCIENCE OF ART 20 [2] Another manifestation of this principle can be seen in the florid sexual displays of birds — that we find so attractive. It is very likely, as suggested by Darwin, that the grotesque exaggeration of these displays, for example the magnificent wings of the birds of paradise, is a manifestation of the peak shift effect during mate choice — sexual selection caused by birds of each generation preferring caricatures of the opposite sex to mate with (just as humans lean toward Playboy pinups and Chippendale dancers). Indeed we have recently suggested (Ramachandran and Blakeslee, 1998) that many aspect of morphological evolution (not just ‘secondary sexual characteristics’ or florid ‘ethological releasers’ and threat displays) may be the outcome of runaway selection, based on the peak shift principle. The
  • 22. result would be not only the emergence and ‘quantization’ of new species, but also a progressive and almost comical ‘caricaturization’ of phylogenetic trends of precisely the kind one sees in the evolution of elephants or ankylosaurs. Even the quirks of fashion design (e.g. corsets becoming absurdly narrow, shoes becoming smaller and smaller in ancient China, shrinking miniskirts) become more comprehensible in terms of this perceptual principle. One wonders, also, whether the striking resemblance between the accumulation of jewellery, shoes and other brightly coloured objects by humans and the collections of bright pebbles, berries and feathers by bowerbirds building their enormous nests is entirely coincidental. [3] Lastly, consider the evolution of facial expressions. Darwin proposed that a ‘threat gesture’ may have evolved from the real facial movements one makes before attacking a victim — i.e. the baring of canines, etc. The same movement may eventually become divorced from the actual act and begin to serve as a communication of intent — a threat. If the peak shift principle were to operate in the recipient’s brain it is easy to see how such a ritualized signal would become progressively amplified across generations. Darwin had a difficult time, however, explaining why gestures such as sadness (instead of joy) seem to involve the opposite movement of facial features — e.g. lowering the corners of the mouth — and he came up with his somewhat ad hoc ‘principle of antithesis’, which states that somehow the opposite emotion is automatically linked to the opposite facial movements. We would suggest, instead, that the principle of antithesis is, once again, an indirect result of the recipient’s brain
  • 23. applying the peak shift principle. Once the organism has circuitry in its brain that says K is normal and J is a smile, then it may follow automatically that L is the expression of the opposite emotion — sadness. Whether this particular conjecture is correct or not we believe that emotional expressions analysed in terms of the peak shift effect may begin to make more sense than they have in the past. Another layer of complexity here is that even the perception of complex postures or actions may Perceptual Grouping and Binding is Directly Reinforcing One of the main functions of ‘early vision’ (mediated by the thirty or so extrastriate visual areas) is to discover and delineate objects in the visual field (Marr, 1981; Ramachandran, 1990; Pinker, 1998; Shepard, 1981) and for doing this the visual areas rely, once again, on extracting correlations. For instance if a set of randomly placed spots A is superimposed on another set of randomly placed dots B, they are seen to mingle to form just a single enormous cluster. But if you now move one of the clusters (say, A) then all the dots are instantly glued or bound together perceptually to
  • 24. create an object that is clearly separate from the background cluster B. Similarly if cluster A is made of red dots (and B is of green dots) we have no difficulty in segregat- ing them instantly. This brings us to our second point. The very process of discovering correlations and of ‘binding’ correlated features to create unitary objects or events must be rein- forcing for the organism — in order to provide incentive for discovering such correla- tions (Ramachandran and Blakeslee, 1998). Consider the famous hidden face (Fig. 1) 21 V.S. RAMACHANDRAN AND W. HIRSTEIN Figure 1 A jumble of splotches or a face? [If you have difficulty ‘seeing’ the face, try looking through half-closed eyes — Editor.] Figure 2 Initially seen as a jumble of splotches, once the Dalma- tian is seen, its spots are grouped together — a pleasing effect, caused perhaps by activation of the limbic sys- tem by temporal lobe cortex. require the observer to somehow internally re-enact or
  • 25. ‘rehearse’ the action before it is identified. For instance, patients with apraxia (inability to perform complex skilled movements resulting from damage to the left supramarginal gyrus) often, paradoxically, have difficulty perceiving and recognizing complex actions performed by others. Also, there are cells in the frontal lobes thought to be involved in the production of complex movements but which also fire when the animal perceives the same movements performed by a the experimenter (di Pellegrino et al., 1992). This finding — together with the peak shift effect — would help account for Darwin’s ‘principle of antithesis’, which would otherwise seem completely mysterious. Such cells may also be activated powerfully when viewing dynamic figural representations such as the ‘Dancing Devi’ (Plate 6). or Dalmatian dog photo (Fig. 2). This is seen initially as a random jumble of splotches. The number of potential groupings of these splotches is infinite but once the dog is seen your visual system links only a subset of these splotches together and it is impossible not to ‘hold on’ to this group of linked splotches. Indeed the discovery of the dog and the linking of the dog-relevant splotches generates a pleasant ‘aha’ sensation. In ‘colour space’ the equivalent of this would be
  • 26. wearing a blue scarf with red flowers if you are wearing a red skirt; the perceptual grouping of the red flowers and your red skirt is aesthetically pleasing — as any fashion designer will tell you. These examples suggest that there may be direct links in the brain between the processes that discover such correlations and the limbic areas which give rise to the pleasurable ‘rewarding’ sensations associated with ‘feature binding’. So when you choose a blue matte to frame your painting in order to ‘pick up’ flecks of blue in the painting you are indirectly tapping into these mechanisms. How is such grouping achieved? As noted above, the primate brain has over two dozen visual areas each of which is concerned with a different visual attribute such as motion, colour, depth, form, etc. These areas are probably concerned with extracting correlations in ‘higher dimensional’ spaces — such as ‘colour space’ or ‘motion space’. In a regular topographic map — e.g., in area 17 — features that are close
  • 27. together in physical space are also close together in the brain (which is all that is meant by ‘map’). But now think of non-topographic maps — say a map of ‘colour space’ — in which points that are close together in wavelength are mapped close together in the colour area of the brain even though they may be distant from each other physically (Barlow, 1986). Such proximity along different feature dimensions may be useful for perceptual grouping and ‘binding’ of features that are similar within that dimension. This argument sounds plausible, but why should the outputs of separate vision modules — space, colour, depth, motion, etc. — be sent directly to the limbic system before further processing has occurred? Why not delay the reinforcement produced by limbic activation until the object has actually been identified by neurons in infero- temporal cortex? After all, the various Gestalt grouping processes are thought to
  • 28. occur autonomously as a result of computations within each module itself (Marr, 1981) without benefit of either cross-module or ‘top down’ influences — so why bother hooking up the separate modules themselves to limbic regions? One resolution of this paradox might simply be that the serial, hierarchical, ‘bucket brigade’ model of vision is seriously flawed and that eliminating ambiguity, segmenting the scene and discovering and identifying objects do indeed rely on top down processes — at least to some situations (Churchland et al., 1994). The visual system is often called upon to segment the scene, delineate figure from ground and recognize objects in very noisy environments — i.e., to defeat camouflage — and this might be easier to accomplish if a limbic ‘reinforcement’ signal is not only fed back to early vision once an object has been completely identified, but is evoked at each and every stage in processing as soon as a partial ‘consistency’ and binding is achieved. This would
  • 29. explain why we say ‘aha’ when the Dalmatian is finally seen in Fig. 2 — and why it is difficult to revert back to seeing merely splotches once the dog is seen as a whole: that particular percept is powerfully reinforced (Ramachandran and Blakeslee, 1998). In other words, even though the grouping may be initially based on autonomous process in each module (Marr, 1981), once a cluster of features becomes perceptually salient THE SCIENCE OF ART 22 as a ‘chunk’ with boundaries (i.e. an object), it may send a signal to the limbic centres which in turn causes you to ‘hold on’ to that chunk to facilitate further computation. There is physiological evidence that grouping of features leads to synchronization of the spikes (action potentials) of neurons that extract those features (Singer and Gray, 1995; Crick and Koch, 1998) and perhaps it is this synchrony that allows the signal to be sent to the limbic pathways. (This, by the way, may be one reason why musical
  • 30. consonance often involves harmonics — for example, a C-major chord — which, for physical reasons would tend to emerge from a single object, whereas dissonant notes are likely to emerge from two or more separate objects.) The key idea, then, is the following (and it applies to many of our laws, not just grouping). Given the limited attentional resources in the brain and limited neural space for competing representations, at every stage in processing there is generated a ‘Look here, there is a clue to something potentially object-like’ signal that produces limbic activation and draws your attention to that region (or feature) , thereby facili- tating the processing of those regions or features at earlier stages. Furthermore, par- tial ‘solutions’ or conjectures to perceptual problems are fed back from every level in the hierarchy to every earlier module to impose a small bias in processing and the final percept emerges from such progressive ‘bootstrapping’ (Ramachandran et al.,
  • 31. 1998). As noted above, consistency between partial high-level ‘hypotheses’ and ear- lier low-level ensembles also generates a pleasant sensation — e.g. the Dalmatian dog ‘hypothesis’ encourages the binding of corresponding splotches which, in turn, further consolidate the ‘dog-like’ nature of the final percept and we feel good when it all finally clicks in place. And what the artist tries to do, is to tease the system with as many of these ‘potential object’ clues as possible — an idea that would help explain why grouping and ‘perceptual problem solving (see below) are both frequently exploited by artists and fashion designers. The notion that art exploits grouping principles is of course not new (Gombrich, 1973; Arnheim, 1956; Penrose, 1973), but what is novel here is our claim that the grouping doesn’t always occur ‘spontaneously’; that out of a temporary binding a signal sent to the limbic system to reinforce the binding, and this is one source of the aesthetic experience. For example, in Fig. 3, there are two
  • 32. possible stable organiza- tions, one with hourglasses, and one with closure and most people find the latter 23 V.S. RAMACHANDRAN AND W. HIRSTEIN Figure 3 Gestalt grouping principles. The tokens can be grouped either on the basis of ‘proximity’ (which produces hourglasses), or ‘closure’. The latter organization is more stable and pleasing to the eye. organization more pleasing than the former because the limbic activation is stronger with this closure-based object-like percept. When artists speak of composition, or grouping, they are probably unconsciously tapping into these very same principles. One obvious prediction that emerges from this theory is that patients with Kluver- Bucy syndrome — caused by bilateral amygdala destruction — should not only dis- play problems in recognizing objects (visual agnosia) but also in segmenting them out from noisy backgrounds, an idea that would be relatively easy to test
  • 33. experimentally. Isolating a Single Module and Allocating Attention The third important principle (in addition to peak shift and binding) is the need to iso- late a single visual modality before you amplify the signal in that modality. For instance, this is why an outline drawing or sketch is more effective as ‘art’ than a full colour photograph. This seems initially counterintuitive since one would expect that the richer the cues available in the object the stronger the recognition signal and asso- ciated limbic activation. This apparent objection can be overcome, however, once one realizes that there are obvious constraints on the allocation of attentional resources to different visual modules. Isolating a single area (such as ‘form’ or ‘depth’ in the case of caricature or Indian art) allows one to direct attention more effectively to this one source of information, thereby allowing you to notice the ‘enhancements’ introduced by the artist. (And that in turn would amplify the limbic activation and reinforcement
  • 34. produced by those enhancements). Consider a full-colour illustration of Nixon, with depth, shading, skin tones and blemishes, etc. What is unique about Nixon is the form of his face (as amplified by the caricature) but the skin tone — even though it makes the picture more human-like — doesn’t contribute to making him ‘Nixon like’ and therefore actually detracts from the efficacy of the form cues. Consequently, one would predict that a full colour photo of Nixon would actually be less aesthetically pleasing than a sketchy outline drawing that captures the essential ‘Nixon-like’ attrib- utes of his face. The idea that outlines are effective in art is hardly new. It has been repeated ad nauseum by many authors, ever since David Hubel and Torsten Wiesel (1979) origi- nally pointed out that this principle may reflect the fact that cells in the visual path- ways are adequately stimulated by edges and are indifferent to homogeneous regions.
  • 35. However this would only explain why one can get away with just using outlines — not why outlines are actually more effective than a full colour half tone photo, which, after all, has more information. We would argue that when the colour, skin texture, etc. are not critical for defining the identity of the object in question (e.g. Nixon’s face) then the extra redundant information can actually distract your limited atten- tional resources away from the defining attributes of that object. Hence the aphorism ‘more is less’ in Art. 4 Additional evidence for this view comes from the ‘savant syndrome’ — autistic children who are ‘retarded’ and yet produce beautiful drawings. The animal drawings of the eight-year old artist Nadia, for instance, are almost as aesthetically pleasing as those of Leonardo da Vinci! (Plate 8). We would argue that this is because the funda- THE SCIENCE OF ART 24 [4] If this theory is correct, we can make the counterintuitive
  • 36. prediction that activation of the face area in the brain — measured by fMRI — should, paradoxically, be greater for an outline sketch of a face than for a full colour photo of a face. mental disorder in autism is a distortion of the ‘salience landscape’; they shut out many important sensory channels thereby allowing them to deploy all their atten- tional resources on a single channel; e.g., in ‘visual form representation’ channel in the case of Nadia. This idea is also consistent with the ingenious theory of Snyder (Snyder and Thomas, 1997), that savants are able to ‘directly access’ the outputs of some of their early vision modules because they are less ‘concept driven’: the concep- tual impoverishment that produces autism also, paradoxically, gives them better access to earlier processes in vision. And finally, we would suggest that the ‘iso- lation’ principle also explains the efflorescence of artistic talent that is occasionally seen in fronto-temporal dementia in adults: a clinical phenomenon that is currently
  • 37. being studied intensively in our laboratory. These ideas allow us to make certain novel predictions: If you put luminous dots on a person’s joints and film him or her walking in complete darkness, the complex motion trajectories of the dots are usually sufficient to evoke a compelling impression of a walking person — the so-called Johansson effect (Johansson, 1975). Indeed, it is often possible to tell the sex of the person by watching the gait. However, although these movies are often comical, they are not necessarily pleasing aesthetically. We would argue that this is because even though you have isolated a cue along a single dimension, i.e., motion, this isn’t really a caricature in motion space. To produce a work of art, you would need to subtract the female motion trajectories from the male and amplify the difference. Whether this would result in a pleasing work of kinetic art remains to be seen. Contrast Extraction is Reinforcing
  • 38. Grouping, as we have already noted, is an important principle, but the extraction of features prior to grouping — which involves discarding redundant information and extracting contrast — is also ‘reinforcing’. Cells in the retina, lateral geniculate body (a relay station in the brain) and in the visual cortex respond mainly to edges (step changes in luminance) but not to homogeneous surface colours; so a line drawing or cartoon stimulates these cells as effectively as a ‘half tone’ photograph. What is fre- quently overlooked though is that such contrast extractions — as with grouping — may be intrinsically pleasing to the eye (hence the efficacy of line drawings). Again, though, if contrast is extracted autonomously by cells in the very earliest stages of processing, why should the process be rewarding in itself? We suggest that the answer once again has to do with the allocation of attention. Information (in the Shannon sense) exists mainly in regions of change — e.g. edges — and it makes sense that such
  • 39. regions would, therefore, be more attention grabbing — more ‘interesting’ — than homogeneous areas. So it may not be coincidental that what the cells find interesting is also what the organism as a whole finds interesting and perhaps in some circum- stances ‘interesting’ translates into ‘pleasing’. For the same reason, contrast along many other stimulus dimensions besides lumi- nance, such as colour or texture, has been exploited by artists (for instance, colour contrast is exploited by Matisse), and indeed there are cells in the different visual areas specialized for colour contrast, or motion contrast (Allman and Kaas, 1971). Furthermore, just as one can speak of a peak shift principle along very abstract dimen- sions, contrast can also emerge in dimensions other than luminance or colour. For 25 V.S. RAMACHANDRAN AND W. HIRSTEIN THE SCIENCE OF ART 26
  • 40. Figure 4 Camouflage. Notice that the boundary between the two types of texture (vertical vs. horizontal lines) is clearly visible on the upper pattern (A), but is masked by the luminance boundaries on the lower (B). (Based on M.J. Morgan; personal communication). A B instance, a nude wearing baroque (antique) gold jewellery (and nothing else) is aes- thetically much more pleasing than a completely nude woman or one wearing both jewellery and clothes, presumably because the homogeneity and smoothness of the naked skin contrasts sharply with the ornateness and rich texture of the jewellery. Whether the analogy between luminance contrast extracted by cells in the brain and the contrast between jewels and naked skin is just a play of words or a deep unifying principle is a question that cannot be answered given what we know about the brain. But we do know that the attention grabbing effect of contrast must be a very important
  • 41. principle in nature, since it is often used as a camouflage device by both predators and their prey. For instance, in Fig. 4A, a texture border is very visible, but in Fig. 4B it is almost ‘invisible’, camouflaged by the colour (black/white) borders that grab the lion’s share of your attention. At first the two principles we have just considered seem antithetical; grouping on the basis of similarity is rewarding, but if so how can contrast (the very opposite of grouping) also be rewarding? One clue comes from the fact that the two mechanisms have different spatial constraints; grouping can occur between similar features (e.g. colour or motion) even if they are far apart in space (e.g., the spots on the nose and tail of a leopard). Contrast, on the other hand, usually occurs between dissimilar features that are physically close together. Thus even though the two processes seem to be inconsistent, they actually complement one another in that they are both concerned
  • 42. with the discovery of objects — which is the main goal of vision. (Contrast extraction is concerned with the object’s boundaries whereas grouping allows recovery of the object’s surfaces and, indirectly, of its boundaries as well). It is easy to see then why the two should be mutually reinforcing and rewarding to the organism. Symmetry Symmetry, of course, is also aesthetically pleasing as is well known to any Islamic artist (or indeed to any child looking through a kaleidoscope) and it is thought to be extracted very early in visual processing (Julesz, 1971). Since most biologically important objects — such as predator, prey or mate are symmetrical, it may serve as an early-warning system to grab our attention to facilitate further processing of the symmetrical entity until it is fully recognised. As such, this principle complements the other laws described in this essay; it is geared towards discovering ‘interesting’ object-like entities in the world.
  • 43. Intriguingly, it has recently been shown experimentally that when choosing a mate, animals and humans prefer symmetrical over asymmetrical ones and evolutionary biologists have argued that this is because parasitic infestation — detrimental to fer- tility — often produces lopsided, asymmetrical growth and development. If so, it is hardly surprising that we have a built-in aesthetic preference for symmetry. The Generic Viewpoint and the Bayesian Logic of Perception Another less well known principle relates to what AI researchers refer to as ‘the generic viewpoint’ principle, which is illustrated in Fig. 5A and B and Fig. 6A and B. In Fig. 5A most people see a square occluding the corner of another square, even though it could theoretically be Fig. B seen from a unique view point. The reason is 27 V.S. RAMACHANDRAN AND W. HIRSTEIN THE SCIENCE OF ART 28
  • 44. Figure 5 One square is seen as occluding the other. It is hard to see A as B viewed from a unique vantage point. The brain ‘prefers’ the generic view. Figure 6 The flat hexagon with radiating spokes could be a cube but is never seen as one. The ‘generic’ inter- pretation is again the brain’s preferred one. A B A B 29 V.S. RAMACHANDRAN AND W. HIRSTEIN Figure 7 The brain’s abhorrence of ‘suspicious coincidences’ (a phrase used by Horace Barlow). Figure B is pleasing, but A is distasteful to the eye. A B that there is an infinite set of viewpoints that could produce the class of retinal images resembling A, but only a single, unique viewpoint that could produce retinal image A, given the objects in B. Consequently, the visual system rejects
  • 45. the latter interpretation as being highly improbable and prefers to see A as occlusion. (The same principle applies to 6A and B; A could depict an outline of a cube seen from one specific van- tage point, but people usually see it as a flat hexagon with spokes radiating from the middle.) These examples illustrate the universal Bayesian logic of all perception: your visual system abhors interpretations which rely on a unique vantage point and favours a generic one or, more generally, it abhors suspicious coincidences (Barlow, 1980). For this reason, Fig. 7B is pleasing, whereas 7A is unattractive (palm tree and hills). So if an artist is trying to please the eye, he too, should avoid coincidences, such as those in 7A and 6B. Yet one must be cautious in saying this since every now and then — given the perverse nature of art and artists — a pleasing effect can be pro- duced by violating this principle rather than adhering to it. For instance, there is a Picasso nude in which the improbability of the arm’s outline
  • 46. exactly coinciding with that of the torso grabs the viewer’s attention — and is arguably attractive to him! We hasten to add that the principles we have discussed so far certainly do not exhaust all types of artistic experience. We have hardly touched on the purely sym- bolic or allegorical aspects of some types of paintings or sculpture, or on surrealism and modern abstract art (e.g., minimalists such as Kandinsky), not to mention ‘counter’ art such as the Dada movement. Also very puzzling is the question of why a nude hidden by a diaphanous veil is more alluring than one seen directly in the flesh, as pointed out by Ernst Gombrich (1973). It is as though an object discovered after a struggle is more pleasing than one that is instantly obvious. The reason for this is obscure but perhaps a mechanism of this kind ensures that the struggle itself is re- inforcing — so that you don’t give up too easily — whether looking for a leopard behind foliage or a mate hidden in the mist. On the other hand,
  • 47. we suspect that surre- alist art really doesn’t have much to do with visual representations per se but involves playing with links between vision and semantics, thereby taking it closer to the meta- phorical ambiguities of poetry and language than to the purely visual appeal of a Picasso, a Rodin, or a Chola bronze. For example, in his erotic masterpiece ‘Young virgin autosodomised by her own chastity’ (1954), Dali has used the male penis to represent the female buttocks and genitalia. The medium and message ‘resonate’ since they both pertain to sex but they are also in subtle conflict since they depict ‘opposite’ sexes! The result is an image pleasing on many levels simultaneously. This playful, whimsical, aspect of art, often involving the humorous juxtaposition of com- plementary — or sometimes even incongruous — elements, is perhaps the most enig- matic aspect of our aesthetic experience, one which we have hardly touched upon in this essay. Another aspect of art that we have not dealt with is
  • 48. style, although one can see how once a style or trend is set in motion the peak shift principle can certainly help amplify it. Art as Metaphor The use of visual metaphors in art is well known. For instance, in Plate 9, the languor- ous, sensuous pose of the woman mimics the tree branch above — the curves match her curves and perhaps the tree’s fertility is a metaphor for her youthfulness. (Just as in Plate 4, the fruit in the tree echoes the curve of the breasts as well as the abdomen.) THE SCIENCE OF ART 30 There are countless examples of this sort in both Eastern and Western art and yet the question is rarely raised as to why visual ‘puns’ or allegories should be aesthetically pleasing. A metaphor is a mental tunnel between two concepts or percepts that appear grossly dissimilar on the surface. When Shakespeare says ‘Juliet is the sun,’ he is
  • 49. appealing to the fact that they are both warm and nurturing (not the fact that they both reside in our solar system!). But, again, why should grasping an analogy of this kind be so rewarding to us? Perhaps the use of a simple concrete example (or one that is easily visualised, such as the sun) allows us to ignore irrelevant, potentially distract- ing aspects of an idea or percept (e.g. Juliet has nails, teeth and legs) and enables us to ‘highlight’ the crucial aspects (radiance and warmth) that she shares with the sun but not with other women. Whether this is purely a device for effective communication, or a basic cognitive mechanism for encoding the world more economically, remains to be seen. The latter hypothesis may well be correct. There are many paintings that instantly evoke an emotional response long before the metaphor is made explicit by an art critic. This suggests that the metaphor is effective even before one is conscious of it, implying that it might be a basic principle for achieving economy of coding
  • 50. rather than a rhetorical device. This is also true of poetic metaphors, as when Shake- speare says of Juliet, ‘Death, that has sucked the honey of thy breath’: the phrase is incredibly powerful well before one becomes consciously aware of the hidden anal- ogy between the ‘sting of death’ and the bee’s sting and the subtle sexual connota- tions of ‘sucking’ and ‘breath’. Classifying objects into categories is obviously vital for survival, e.g. prey vs. predator, edible vs. inedible, male vs. female, etc. Seeing a deep similarity — a com- mon denominator as it were — between disparate entities is the basis of all concept formation whether the concepts are perceptual (‘Juliet’) or more abstract (‘love’). Philosophers often make a distinction between categories or ‘types’ and ‘tokens’ — the exemplars of a type — (e.g. ‘ducks’ vs. ‘that duck’). Being able to transcend tokens to create types is an essential step in setting up a new perceptual category.
  • 51. Being able to see the hidden similarities between successive distinct episodes allows you to link or bind these episodes to create a single super- ordinate category, e.g., sev- eral viewer-centred representations of a chair are linked to form a viewer- independent abstract representation of ‘chairness’. Consequently, the discovery of similarities and the linking of superficially dissimilar events would lead to a limbic activation — in order to ensure that the process is rewarding. It is this basic mechan- ism that one taps into, whether with puns, poetry, or visual art. Partial support for this view comes from the observation that these mechanisms can go awry in certain neurological disorders. In Capgras syndrome, for instance, connec- tions from the visual ‘face region’ in the inferotemporal cortex to the amygdala (a part of the limbic system where activation leads to emotions) are severed so that a familiar face no longer evokes a warm fuzzy emotional response (Hirstein and Ramachandran, 1997). Remarkably, some Capgras patients are
  • 52. no longer able to link successive views of a person’s face to create more general perceptual category of that particular face. We suggested that in the absence of limbic activation — the ‘glow’ of recognition — there is no incentive for the brain to link successive views of a face, so that the patient treats a single person as several people. When we showed our Capgras patient DS different photos of the same person, he claimed that the photos were of dif- ferent people, who merely resembled each other! One might predict, therefore, that 31 V.S. RAMACHANDRAN AND W. HIRSTEIN patients like DS would also experience difficulty in appreciating the metaphorical nuances of art, but such a prediction is not easy to test. An Experimental Test We conclude by taking up the final test of any theory: does it lead to counterintuitive predictions that can be tested experimentally? One approach — albeit a laborious one
  • 53. — would be to do ‘psychophysics’ on artistic experience: show people different types of pictures to see what they find pretty. The principles outlined above are difficult to test individually, but we believe that the very first one — the peak shift principle — can be tested directly. To do so one could measure the galvanic skin response (also known as skin conductance response, SCR) of naive experimental subjects to photos and drawings or caricatures. When you look at any evocative picture, the image is extracted by the ‘early’ visual areas and sent to the inferotemporal cortex — an area specialized for detecting faces and other objects. Once the object has been recog- nized, its emotional significance is gauged by the amygdala at the pole of the temp- oral lobe and if it is important the message is relayed to the autonomic nervous system (via the hypothalamus) so that you prepare to fight, flee, or mate. This in turn causes your skin to sweat, producing changes in its electrical resistance — a skin conduc-
  • 54. tance response. So every time you look at your mother or even a famous face such as Einstein’s or Gandhi’s, you will get an SCR, but not if you look at an unfamiliar face, or a chair or a shoe (unless you happen to have a shoe fetish!). So the size of the SCR is a direct measure of the amount of limbic (emotional) acti- vation produced by an image. It is a better measure, as it turns out, than simply asking someone how much emotion he feels about what he is looking at because the verbal response is filtered, edited, and sometimes censored by the conscious mind — so that your answer is a ‘contaminated’ signal. Indeed there are patients with damage to the inferotemporal cortex who cannot consciously recognize their mother, yet will still register a larger SCR to her face than to unfamiliar people (Bauer, 1984; Tranel and Damasio, 1985; 1988). Conversely, we have shown that another type of patient has the opposite problem: he consciously recognizes her, but gets no emotional/limbic
  • 55. response to her and hence creates the delusion that she is some sort of impostor (Hirstein and Ramachandran, 1997). These examples suggest that measuring SCR somehow allows you to directly access those ‘unconscious’ mental processes. The responses we get to art objects may similarly be only partly available to conscious experience. You may deny you are attracted to a chap for all sorts of socio-cultural reasons but your hidden attraction to him may manifest itself as a large SCR to his photo (or sometimes, it may spill over when you dream during REM sleep)! Our experiment, then, is quite simple. Compare a subject’s SCR to a caricature or even just an outline drawing of, say, Einstein or Nixon to his SCR to a photo of Ein- stein or Nixon. Intuitively, one would expect the photo to produce a large SCR because it is rich in cues and therefore excites more modules. One might find, para- doxically, that the drawing actually elicits a larger SCR, and if so, this would provide
  • 56. evidence for our ideas on the peak shift effect — the artist has unconsciously pro- duced a super stimulus. As a control, one would show photos which have been morphed to look strange to ensure that it was not merely the strangeness of the carica- ture which was producing the larger SCR. Similarly, one could also compare the mag- THE SCIENCE OF ART 32 nitude of an SCR to caricatures of women (or indeed, to a Chola bronze nude or a Picasso nude) with the SCR to a photo of a nude woman. It is conceivable that the sub- ject might claim to find the photo more attractive at a conscious level, while register- ing a large ‘unconscious aesthetic response’ — in the form of a larger SCR — to the artistic representation. That art taps into the ‘subconscious’ is not a new idea, but our SCR measurements may be the first attempt to test such a notion experimentally. Another ‘experiment’ on art could take advantage of the fact that many cells in the
  • 57. inferotemporal cortex of monkeys respond selectively to monkey (and human!) faces — sometimes selectively just to a single face (Tovee et al., 1996). Again, one could try confronting the cell with a drawing or caricature of the particular monkey (or human) face it was responding to. Would the cell respond even more vigorously to a ‘superstimulus’ of this kind? Conclusion In summary, we have identified a small subset of principles underlying all the diverse manifestations of human artistic experience. There are undoubtedly many others (cf. the principle of visual repetition or ‘rhythm’), but these eight principles are a good place to start. We shall call them ‘the eight laws of artistic experience,’ based on a loose analogy with the Buddha’s ‘eight-fold path’ to wisdom and enlightenment. One, the peak shift principle; not only along the form dimension, but also along more abstract dimensions, such as feminine/masculine posture, colour
  • 58. (e.g. skin tones) etc. Furthermore, just as the gull chick responds especially well to a super beak that doesn’t resemble a real beak, there may be classes of stimuli that optimally excite neurons that encode form primitives in the brain, even though it may not be immedi- ately obvious to us what these primitives are. Two, isolating a single cue helps the organism allocate attention to the output of a single module thereby allowing it to more effectively ‘enjoy’ the peak shift along the dimensions represented in that mod- ule. Three, perceptual grouping to delineate figure and ground may be enjoyable in its own right, since it allows the organism to discover objects in noisy environments. Principles such as figure–ground delineation, closure and grouping by similarity may lead to a direct aesthetic response because the modules may send their output to the limbic system even before the relevant objects has been completely identified. Four, just as grouping or binding is directly reinforcing (even before
  • 59. the complete object is recognized), the extraction of contrast is also reinforcing, since regions of contrast are usually information-rich regions that deserve allocation of attention. Camouflage, in nature, relies partly on this principle. Five, perceptual ‘problem solving’ is also reinforcing. Hence a puzzle picture (or one in which meaning is implied rather than explicit) may paradoxically be more alluring than one in which the message is obvi- ous. There appears to be an element of ‘peekaboo’ in some types of art — thereby ensuring that the visual system ‘struggles’ for a solution and does not give up too eas- ily. For the same reason, a model whose hips and breasts are about to be revealed is more provocative than one who is completely naked. (E.g., in Plate 6 the necklace just barely covers the nipples and the dress is almost sliding off the hips.) Six, an abhor- rence of unique vantage points. Seven, perhaps most enigmatic is the use of visual ‘puns’ or metaphors in art. Such visual metaphors are probably
  • 60. effective because dis- covering hidden similarities between superficially dissimilar entities is an essential 33 V.S. RAMACHANDRAN AND W. HIRSTEIN part of all visual pattern recognition and it would thus make sense that each time such a link is made, a signal is sent to the limbic system. Eight, symmetry — whose rele- vance to detecting prey, predator or healthy mates is obvious. (Indeed, evolutionary biologists have recently argued that detecting violations of symmetry may help ani- mals detect unhealthy animals that have parasites.) One potential objection might be that originality is the essence of art and our laws do not capture this. But the flaw in this objection becomes apparent when you con- sider the analogy with language. After all the ‘deep structure’ of language discovered by Chomsky has enormously enriched our understanding of language even if it doesn’t explain Shakespeare, Valmiki, Omar Khayyam or Henry
  • 61. James. Likewise, our eight laws may help provide a framework for understanding aspects of visual art, aesthetics and design, even if they don’t necessarily explain the evocativeness or originality of individual works of art. In conclusion, we suggest that a great deal of what we call art is based on these eight principles. We recognize, of course, that much of art is idiosyncratic, ineffable and defies analysis but would argue that whatever component of art is lawful — how- ever small — emerges either from exploiting these principles or from a playful and deliberate violation of them. We cannot resist concluding with a joke: A young man brings his fiancée home to introduce her to his father. His father is astonished to note that she has a clubfoot, a squint, a cleft palate and is hunchbacked, and can hardly conceal his dismay. Noticing his father’s reaction, his son calmly tells him, ‘Well Dad, what can I say? You either like a Picasso or you don’t.’
  • 62. Acknowledgements We thank Diane Rogers-Ramachandran, Francis Crick, Odile Crick, Julia Kindy, Mumtaz Jahan and Niki de Saint Phalle for stimulating discussions on numerous topics straddling the boundary between art and science. VSR also thanks All Souls College, Oxford, for a fellowship that allowed him to complete this project. References Allman, J.M. and Kaas, J.H. (1971), ‘Representation of the visual field in striate and adjoining cortex of the owl monkey’, Brain Research, 35, pp. 89–106. Arnheim, R. (1956), Art and Visual Perception (Berkeley, CA: University of California Press). Attneave, F. (1954), ‘Some informational aspects of visual perception’, Psychological Review, 61, pp. 183–93. Barlow, H.B. (1986), ‘Why have multiple cortical areas?’, Vision Research, 26 (1), pp. 81–90. Bauer, R.M. (1984), ‘Autonomic recognition of names and faces in prosopagnosia: a neuropsychological application of the Guilty Knowledge Test’, Neuropsychologia, 22, pp. 457–69. Churchland, P.S., Ramachandran, V.S. and Sejnowski, T.J.
  • 63. (1994), ‘A critique of pure vision’, in Large-scale Neuronal Theories of the Brain, ed. C. Koch and J.L. Davis (Cambridge, MA: The MIT Press). Crick, F. and Koch, C. (1998), ‘Consciousness and neuroscience’, Cerebral Cortex, 8 (2), pp. 97–107. di Pellegrino, G, Fadiga, L., Fogassi, L.; Gallese, V. and Rizzolatti, G. (1992), ‘Understanding motor events: a neurophysiological study’, Experimental Brain Research, 91 (1), pp. 176–80. Gombrich, E.H. (1973), ‘Illusion and art’, in Illusion in Nature and Art, ed. R.L. Gregory and E.H. Gombrich (New York: Charles Scribner’s Sons). Hirstein, W.S. and Ramachandran, V.S. (1997), ‘Capgras Syndrome: A novel probe for understanding the neural representation of the identity and familiarity of persons’, Proceedings of the Royal Society of London, 264, pp. 437–44. THE SCIENCE OF ART 34 Hubel, D.H. and Wiesel, T.N. (1979), ‘Brain mechanisms of vision’, Scientific American, 241, pp. 150–62 Johansson, G. (1975), ‘Visual motion perception’, Scientific American, 232, pp. 76–8. Julesz, B. (1971), Foundations of Cyclopean Perception (Chicago, IL: University of Chicago
  • 64. Press). Livingstone, M.S. and Hubel, D.H. (1987), ‘Psychophysiological evidence for separate channels for the perception of form, color, movement and depth’, Journal of Neuroscience, 7, pp. 3416–68. Marr, D. (1981), Vision (San Francisco, CA: Freeman and Sons). Penrose, Roland. (1973), ‘In praise of illusion’, in Illusion in Nature and Art, ed. R.L. Gregory and E.H. Gombrich (New York: Charles Scribner’s Sons). Pinker, S. (1998), How the Mind Works (New York: William Morrow). Ramachandran, V.S. (1990), ‘Visual perception in people and machines’, in AI and the Eye, ed. A. Blake and T. Troscianko (Chichester: Wiley). Ramachandran, V.S. and Hirstein, W. (1997), ‘Three laws of qualia: Clues from neurology about the biological functions of consciousness and qualia’, Journal of Consciousness Studies, 4 (5–6), pp. 429–57. Ramachandran, V.S. and Blakeslee, S. (1998), Phantoms in the Brain (New York: William Morrow and Co). Ramachandran, V.S., Armell, C., Foster, C. and Stoddard, R. (1998), ‘Object recognition can drive apparent motion perception’, Nature, 395, pp. 852–3. Shepard, R. (1981), In Perceptual Organization, ed. M. Kubovy and T. Pomerantz (New Jersey:
  • 65. Lawrence Erlbaum). Singer, W. and Gray, C.M. (1995), ‘Visual feature integration and the temporal correlation hypothesis’, Annual Review of Neuroscience, 18, pp. 555–86. Snyder, A. and Thomas, M. (1997), ‘Autistic savants give clues to cognition’, Perception 26, pp. 93–6. Tinbergen, N. (1954), Curious Naturalists (New York: Basic Books). Tovee, M.J., Rolls, E. and Ramachandran V.S. (1996), ‘Rapid visual learning in neurons in the primate visual cortex’, Neuroreport, 7, pp. 2757–60. Tranel, D. & Damasio, A.R. (1985), ‘Knowledge without awareness: An autonomic index of facial recognition by prosopagnosics’, Science, 228, pp. 1453–4. Tranel, D. & Damasio, A.R. (1988), ‘Non-conscious face recognition in patients with face agnosia’, Behavioral Brain Research, 30, pp. 235–49. Van Essen, D.C. and Maunsell, J.H. (1980), ‘Two-dimensional maps of the cerebral cortex’, J. Comp. Neurol., 191, pp. 255–81. Zeki, S. (1980), ‘The representation of colours in the cerebral cortex’, Nature, 284, pp. 412–18. Zeki, S. (1998), ‘Art and the brain’, Proceedings of the American Academy of Arts and Sciences, 127 (2), pp. 71–104. Reprinted in Journal of Consciousness Studies, 6 (6–7), pp. 76–96.
  • 66. 35 V.S. RAMACHANDRAN AND W. HIRSTEIN V.S. Ramachandran Sharpening Up ‘The Science of Art’ An Interview with Anthony Freeman Introduction Freeman: The article ‘The Science of Art’ by William Hirstein and yourself (Ramachandran and Hirstein, 1999) has proved one of the most stimulating ever published in JCS. Criticisms of it abound, so to focus your response I will put to you questions that summarize the chief points made by our formal commentators [see Journal of Consciousness Studies, 6 (6–7), 1999, and 7 (8– 9), 2000] and also pick up other questions that are frequently asked about it. But first I should like to know what motivated you to write the paper — and did you anticipate the reaction it would provoke? Ramachandran: We mainly did it for fun. Also we hoped the
  • 67. essay would serve to generate a useful dialogue between artists, neuroscientists, perceptual psychol- ogists and art historians — to bridge C.P. Snow’s two cultures. The article was intended to be whimsical, provocative and slightly tongue-in- cheek, and to serve as a starting point — it certainly wasn’t intended to be a complete theory of art (even assuming there is such a thing!). Judging from the enormous number of comments received — both in the journal and at subsequent meetings on the topic — it seems to me that our article has at the very least accomplished our minimum objective: to make some specific experimental predictions and so to stimulate a lively debate. Freeman: What is your overall reaction to the tone and content of the comments and questions that have been thrown up? Ramachandran: As one would expect, with such a wide range of commentators,
  • 68. some are favourable and others frown on the whole enterprise — while at the same time disagreeing among themselves or even contradicting each other. My general impression has been that scientists (e.g. psychologists and neurologists) find the essay stimulating whereas some art historians don’t. But I was pleasantly Journal of Consciousness Studies, 8, No. 1, 2001, pp. 9–29 Correspondence: V.S. Ramachandran, MD, Center for Brain and Cognition, UCSD, La Jolla, CA 92093-0109, USA. Email: [email protected] surprised to find that many practising artists also find the article to be both inter- esting and provocative. (‘It makes what we do seem less “crazy” or ad hoc — indeed it legitimizes what we do,’ was the way one artist put it while commenting on a lecture I recently gave at the Getty [Ramachandran, 2000b].) I especially enjoyed reading the clear, cogent, and insightful arguments of Richard Gregory, Colin Martindale, Jaron Lanier, Julia Kindy,
  • 69. Ron Mangun, Jennifer McMahon and Amy Ione and would like to thank them for taking the time to respond. When reading some of the critical commentaries I was reminded of a story about the great German physicist Hermann Von Helmholtz, the first scientist to propose the First Law of Thermodynamics — that energy can neither be created nor destroyed. Even though the ‘law of conservation of energy’ was starting to be widely accepted it was violently opposed by many biologists who argued that the law applied only to non-living systems but not to living things. So Helmholtz set up an apparatus to measure the heat output of a living muscle preparation and showed that it did obey the first law just as well as an ‘ideal’ or perfect machine should. Amazingly, when he set up a demonstration of this at a scientific meeting in Germany, even many contemporary physicists (including Joule and Carnot)
  • 70. refused to believe the evidence before their eyes. Helmholtz wrote home to a friend: ‘Despite the evidence staring at them, not a single member believed a word of what I said. From the vehemence of their denials and denunciations I now know I must be right.’ The vigorous opposition to Helmholtz was mainly the result of the then prevailing strong anti-reductionist stance in biology — especially the superstitious belief that living things were imbued with a mysteri- ous ‘vital essence’ that rendered any application of scientific laws — such as the first law — inapplicable to them. One discerns a touch of the same endearing naivete in the responses of many social scientists to our essay on the science of art, for example in the comments of Ruth Wallen (who describes herself as a ‘practising Buddhist’) who seems worried that a scientific analysis of art might detract from its spiritual dimension! (See further on p. 22 below.)
  • 71. Incidentally, I am amazed at the willingness of Dr Goguen to allow ‘Donnya Wheelwell’ to publish her piece under a pseudonym — a practice that is unheard of in respectable academic circles (and despite his telling me over the phone that a pseudonym would not be used). If Ms Wheelwell really had something interest- ing to say, why hide behind a psudonym?1 Freeman: You have said that you mainly wrote the article ‘for fun’, but I don’t entirely believe that. I sense that you have a passionate and deeply serious under- lying commitment to the project you have begun. Ramachandran: In publishing ‘The Science of Art’ we had one main goal in mind, namely to stimulate an interdisciplinary discussion and debate between neuroscientists, social ‘scientists’, artists and art historians on the meaning of art and the quest for artistic universals. 10 V.S. RAMACHANDRAN
  • 72. [1] See pages 3–6 above for a discussion of editorial policy on unsigned contributions — Editor. Freeman: Doesn’t the attempt to discover ‘artistic universals’ negate the very essence of art, which is after all a celebration of individuality, not about what’s common across people and cultures? Ramachandran: My spelling out universal ‘laws’ of aesthetics does not negate the originality of the artist. I am merely asking what rules of thumb the artist con- sciously or unconsciously deploys. But which laws a given artist chooses to emphasize and how effectively she does it is entirely up to her skill and original- ity. Monet was a master of introducing peak shifts in colour space whereas Henry Moore was probably tapping into and exploiting form primitives — analogous to the stick with three stripes. By way of analogy consider two ‘universal laws’ in poetry — metaphor and rhyme. Spelling out these laws does not detract from the
  • 73. fact that Shakespeare was better at deploying them than any other human being. (The only difference is that for universals in poetry, such as rhyme, it is hard to find the evolutionary rationale or neural underpinnings in the manner I have tried to do for the universal laws of visual art.) An even better analogy is with Chomsky’s discovery that there is a ‘universal grammar’ underlying all human languages despite their surface diversity. His ideas have enormously enriched our knowledge of language, but no one would argue that the existence of such univer- sals detracts from Shakespeare’s originality. Freeman: How did you — a neuroscientist — first become interested in the question of artistic universals? And didn’t you feel the need for a formal training in art history or the philosophy of aesthetics before embarking on such a venture? As things are, you surely run the risk of making simple mistakes that give your
  • 74. opponents an excuse to brush aside your more incisive remarks. Ramachandran: My current work is in behavioural neurology but most of my earlier work in the last two decades was on human visual perception — especially its biological basis. I also enjoy and study Indian art as a hobby. So it was quite natural for me to become interested in artistic universals and the underlying neu- ral substrate. I became especially intrigued by the word rasa that appears in ancient Indian (Sanskrit) art manuals. The word is hard to translate but roughly means ‘Capturing the very essence of something in order to evoke a specific emo- tion or mood in the viewer’s brain’. I realized that to understand the neural basis of art one needs to understand rasa. My lack of expertise in art history is both a disadvantage and an advantage. A disadvantage, perhaps, because it may lead me to ignore stylistic historical trends and the important cultural dimensions of art. An advantage, because it is only by
  • 75. deliberately ignoring the variations imposed by culture that one can begin to approach the question of whether or not there are universals and it’s easier to ignore something if you don’t know anything about it! My point is not that culture is not important but that it’s what most people study — it’s called art history. On the other hand almost no real progress has been made in understanding universal principles that cut across cultures and that’s what interests me as a scientist. Even if only 10% of art turns out to be lawful it’s that SHARPENING UP ‘THE SCIENCE OF ART’ 11 10% that interests me, not the unlawful 90% that interests sociologists and historians. After all there are thousands of stodgy, boring inaccessible tomes on art history, styles, fads, etc., gathering dust on bookshelves, but very little that is intelligible and interesting about the universals.2 So while I plead guilty to ignor-
  • 76. ing the complexities imposed by culture, I would point out that my decision to do so was deliberate. And I would argue that my ignorance of art history (especially Western art) is an advantage since it has perhaps allowed me to approach the problem with fresh unprejudiced eyes. Freeman: But why is this debate so important to you? Ramachandran: The history of science may be seen as a long succession of attempts to banish vitalism from our understanding of Nature. People said that living things could never be understood in terms of chemistry because there was a mysterious élan vitale, ‘entelechy’ or vital spirit, but the discovery of DNA’s structure changed all this. Likewise it was widely believed that even though we may someday understand all the functions of the brain, we can never explain the ‘soul’ or consciousness. This challenge too has been taken up (e.g. Crick and Koch, 1998) and few educated people now believe in a
  • 77. nonmaterial soul. Now with regard to art, the easy way out is to say, ‘Well, it will always remain ineffable and mysterious’ — as some of the commentaries on our essay imply. On the other hand it requires guts to say, ‘Well, maybe that’s true and eventually we will come up against an epistemological barrier, but even if that is so, I would prefer to forge ahead in my quest for laws until I do confront that barrier.’ This is why I regard Zeki’s efforts to understand art as so important, even though he doesn’t have all the answers. Saying ‘it will always remain mysterious’ is the easy way out. Prediction and Experimental Testability Freeman: You lay great emphasis on the claim that your ideas entail predictions that are experimentally testable. Can you elaborate on this with concrete examples? Ramachandran: Yes, at least some of the ideas in our essay make very specific counterintuitive predictions — and that’s what sets these apart from the vague
  • 78. ideas of philosophers and even vaguer ideas of art historians. Let me take up a challenge that would, at first sight, seem almost unapproach- able by science: cubism. It has long been known that cubism liberates the viewer from the tyranny of a single viewpoint by presenting two or more ‘views’ of an object or face squished into a single plane — so as to be seen from a single vantage point. So a Picasso portrait might show a profile face and a frontal view simultaneously in a single image (see, e.g., Zeki, 1999). However what no art scholar or scientist has asked is why such a simultaneous depiction of two views should be actually more pleasing to the observer than any single view, even though it looks ‘unrealistic’. One option would be to suggest that cubism is not all that pleasing and that it’s the result of propaganda and culture — indeed Zeki 12 V.S. RAMACHANDRAN [2] See below for some notable exceptions, e.g. work by
  • 79. Gregory, Arnheim, Gombrich, Humphrey, Zeki. speaks of it as a ‘failure’. But following my line of reasoning about the ‘super beaks’ that gull chicks respond to, I can make a specific physiological prediction concerning cubism (Ramachandran, 2000a,b). First I would emphasize that the ‘super beak’ idea is not the same as ‘carica- ture’ or hyperbole. The key difference is that in the latter it is obvious what dimension is being exaggerated (‘peak shift’) whereas in the former the super- stimulus bears no obvious relationship to the original stimulus to which the organism has evolved (or learnt) to respond. That is to say, from looking at a real beak you couldn’t have predicted that a long stick with three stripes is the optimal configuration for driving the neurons. And I suggest that this idiosyncratic response is a sort of spandrel — it has something to do with neurons using certain
  • 80. primitive rules or ‘shortcuts’ to detect beaks quickly and adequately with high probability and without too many false positives. The system is adequate but not optimal (and certainly not infallible). Indeed all that’s required is that the neurons have a high enough ‘hit rate’ in detecting beaks that they leave behind enough genes for the next generation of gulls. (We need a new name for this so lets call it ‘hypernormal stimuli’.) Freeman: Is the response to the beak learnt or present at birth in the chick’s brain? Ramachandran: It is present at birth. But my notion of ‘hyper- stimuli’ would apply even to learnt visual patterns — e.g. specific faces. For instance, a large proportion of cells in a certain part of the fusiform gyrus (inferotemporal cortex) of the monkey respond to faces in a highly selective manner and not to other things (e.g. pigs, chairs or bananas). Each cell will respond only to one view of a particular face, e.g. ‘boss’ or ‘infant’ or ‘Monkey A’ or
  • 81. ‘Monkey B’, with differ- ent cells responding to different faces. In addition there are many different cells responding to a given face — with each cell responding to different view of that same face, e.g. frontal view, semiprofile or full profile (Rolls, 1999). But at the subsequent stage in processing, in the next visual area in the hierarchy, a new type of cell is seen that will respond to any view of a given face — e.g. mother or mon- key A or B (and different cells respond to different faces). These ‘master face cells’ (as I call them) are of course what the monkey ultimately needs — for it needs to detect the mother’s presence no matter what direction she is looking. Now how do you ‘construct’ or wire up one of these master face cells? In all like- lihood you pool the outputs of several regular face cells each of which responds to a different view of the same face. So you take the output of all the regular single- view face cells corresponding to a given face and have these
  • 82. output axons con- verge on to a single master face neuron for that face. The net result of such a con- vergence would be that the master cell in question responds equally well to any view of that face — which is what you want. Freeman: But what has all this to do with cubism and Picasso? Ramachandran: In order to see that, first consider this fact. When a conver- gence of axons from several ‘regular’ face cells occurs on a single master cell, nature (or evolution) is not going to go through all the trouble of ensuring that the SHARPENING UP ‘THE SCIENCE OF ART’ 13 convergence results in a perfect ‘OR-gate’. On the contrary it may well be that if both views are simultaneously presented to the master cell then the converging inputs from the two corresponding regular ‘single view’ cells may simply add lin- early — until saturation. This means you would be hyperactivating the master
  • 83. neuron in a manner that could never occur in nature (Ramachandran, 2000a,b). So this master face neuron may scream out loud (so to speak) ‘WOW — what a face!’ and excite the limbic system correspondingly. Now the advantage with this expla- nation is that it can be tested experimentally. Neuroscientists at Oxford and Princeton are currently recording from both types of cells in these very areas. My prediction is that if you find a regular face cell, it should get excited by regular faces but not any more so by a Picasso face (since only one of the views will excite the cell). But if you go to the master cell, where convergence of many views occurs, then that cell will not only respond to any individual view but even better to two views presented simultaneously as in a cubist portrait! I am especially fond of this example because often when I give talks a social ‘scientist’ will raise his (or her) hand and say, ‘You scientists are
  • 84. reductionists. You may explain atoms and molecules using string theory, you may explain heredity using DNA — maybe even aspects of the mind, such as memory in sea slugs — but you can never explain a Picasso!’ Well what I have proposed above is nothing less than a specific testable theory of Picasso, in neural terms. Freeman: But it may turn out that your explanation is wrong. Ramachandran: Yes — and that is the beauty of it! In that case it’s at least wrong: one can show for sure that it is wrong! And you can’t say that for 99% of the philosophical theories of aesthetics and art. To my knowledge this is the first clear cut experimental prediction on cubism that has been ever proposed. Freeman: Your enthusiam is contagious, but if your ideas about Picasso are correct, then why doesn’t everyone like Picasso? Ramachandran: This is an important question. The surprising answer might be that everyone does ‘like’ Picasso but not everyone knows it! The key to under-
  • 85. standing this is to realize that the brain has many quasi- independent ‘modules’ that can at times signal inconsistent information. It may well be that all of us have the basic neural circuits in the fusiform (and especially at the next stage) i.e. the ‘master face neurons’ that would show a heightened response to Picasso, but per- haps in many of us other ‘higher’ cognitive systems (e.g. the interpreter in the left hemisphere) might kick in and censor or veto the output of the face neurons by saying, in effect, ‘There is something wrong with this face — two eyes cannot possibly occur on a profile — so ignore that signal from the master face cells even though it is very strong’. In short I am saying all of us do like Picasso but many of us are ‘in denial ‘about it, and as I have argued elsewhere ‘denial’ is much more widespread than people realize. For instance polls show that roughly 95% of peo- ple think their intelligence is ‘above average’ — a mathematical impossibility.
  • 86. The finding implies that almost half of mankind is in denial about its stupidity! Likewise I would argue that even people who claim not to like Picasso are closet 14 V.S. RAMACHANDRAN Picasso enthusiasts and this could in principle be tested with brain imaging and GSR — it’s not an untestable assertion. Let me make a second prediction and that concerns the exaggerated ‘feminine pose’ or sense of movement rhythm and dance seen in certain Indian sculptures (see my article for examples) as well as Western sculptures, e.g. Degas. I suggest these are hyper-normal stimuli for a system of cells called ‘mirror neurons’ in the frontal lobes of primates. Certain cells in the monkey’s ventral premotor area respond when the monkey performs actions such as ‘pulling’, ‘reaching for a pea- nut’, etc., i.e. they are motor ‘command’ neurons for initiating and orchestrating
  • 87. complex sequences of movement. Now Rizzolati has shown that a subset of these — called ‘mirror neurons’ — will be activated even if the monkey doesn’t move his hand but watches another ‘model’ monkey perform that very same action, i.e. it’s a ‘monkey see monkey do’ neuron. Similarly, there may be neurons that respond optimally to the adoption of certain postures by the other monkey. It was as though the neuron was doing an internal VR simulation in order to ‘read’ the model monkey’s ‘intention’. To create a work of art that takes advantage of these principles, I suggest that one exploit two laws — ‘isolation’ and ‘peak shift’ — in order to hyperstimulate E, the mirror neuron system in humans. To do this one could create point light displays mounted on the ‘model’ human’s joints as she performs complex movements (e.g. dance) or adopts certain poses (‘isolation’) analogous to displays used by Johannson (1975) and then introduce postural peak
  • 88. shifts or exaggeration in these displays. This would serve as a hyper-optimal stimulus for the mirror neurons and I predict it would be aesthetically more pleas- ing than watching a real woman adopt corresponding poses or movements. Lastly I would emphasize that the idea that art involves exaggeration or hyper- bole is hardly new. What is novel here is the idea that the more effective stimulus that hyperactivates the visual cells need not bear any obvious resemblance to the thing being depicted (e.g. stick with three stripes = beak) and may, instead, reflect the manner in which that cell is ‘wired up’ to take certain short- cuts in processing visual images. Indeed certain fish will respond most vigorously to a blue dot painted on a fish of the opposite sex even though there is nothing resembling that blue dot on the original! Perhaps abstract art taps into such form and colour primi- tives in human vision (and the idea can be tested by experiments of the kind out-
  • 89. lined above for Picasso). Also, as we argue in our essay, both the idea of ‘peak shift’ and the idea of ‘hypernormal stimuli’ (like the stick with three stripes) can be extended to domains other than ‘form’ — e.g. colour (Monet and Van Gogh) or movements (in dance) — i.e. to domains to which the idea may initially seem inapplicable. Indeed it is likely that there are visual areas (or neurons) in the brains of primates that extract other visual primitives that are even less obvious, such as light and shade, highlights, skin texture, etc., and one often sees renaissance paintings that deliberately exaggerate or produce ‘hypernormal’ versions of these very charac- teristics — e.g. an old man with anatomically impossible wrinkles, absurdly accentuated highlights on a shiny face or eyes, rippling, grossly hypertrophied muscles, or a pink flush that is almost too healthy (Boucher). Deeply accentuated
  • 90. SHARPENING UP ‘THE SCIENCE OF ART’ 15 (and physically impossible) shading is also often used to artificially heighten the sense of 3-D form and depth. Without these extra touches you just have realism — not art. (And conversely if these laws are deployed inappropriately you get kitsch art and tacky art.) Some people have argued that what is kitsch and what is sophis- ticated is a matter of convention and culture but I disagree. The evidence against this is that one can mature from initially liking kitsch to liking more sophisticated art but one cannot usually slide backwards to kitsch (which implies that there is something genuinely ‘better’ about the former). Other aspects of aesthetics, besides art, may also exploit ‘peak shifts’. E.g. lip stick and rouge emphasize that a potential mate is not anemic and is therefore fertile. Belladonna enlarges pupils and glitter sprinkled on the skin looks like sweat — simulating sexual arousal.
  • 91. Freeman: As an aside, your speaking of sea gulls and impressing chicks raises the question, Do animals have art? Ramachandran: I wouldn’t rule it out. Male bower birds in New Guinea and Australia build elaborate and very ornate bowers decorated with brightly col- oured berries, shiny bits of metal (Ramachandran and Hirstein, 1999), lustrous feathers and pebbles, etc. Even a cursory examination reveals many of my laws at work, e.g. grouping (similar coloured pebbles or berries are grouped close together) and clusters of shiny metallic bits may be hyperactivating certain neurons just like a Picasso face does for us (signalling the presence of water or dew perhaps?). I don’t see all that big a difference between the creations of these birds and much of what passes for contemporary art in Madison Avenue or Santa Fe (although, in saying this, I do feel a bit like the little boy who said the emperor
  • 92. has no clothes!). Originality Freeman: I have also played the role of that little boy in my own discipline of theology, and one of the defences put up against me by the ‘establishment’ was to claim my ideas were actually nothing new, and therefore could be ignored. You seem to be vulnerable to a similar accusation. For instance, you open your essay by saying that the goal of art is not realism, that is to say it’s not to copy some- thing. Surely this is not an original observation. Ramachandran: Of course it’s not original — we were not even trying to be original — this was just a rhetorical opening line, nothing more. But you would be amazed at how widespread this misconception of art was, and indeed still is. As we say in our essay, Victorian Englishmen often criticized Indian sculptures because of lack of anatomical realism (‘multi-armed monstrosities’ to quote one
  • 93. eminent bard). For example, they thought that Chola bronzes and ‘mediaeval’ stone sculptures of women were too voluptuous — with enormous breasts and hips — for their delicate Victorian sensibilities. How ironic, then, that it was at just this time that corsets were introduced in England. Women even had their lower ribs removed surgically to accentuate their bust and hips to impress those 16 V.S. RAMACHANDRAN very men who were criticizing statues of Indian goddesses for having precisely the same attribute — too narrow a waist! Freeman: Does that mean you are not claiming any of your ideas are original? Ramachandran: I am tempted to quote Gerald Edelman, who once said, ‘If I have seen further, it is by standing on the heads of pygmies.’ On a more serious note, our article of course builds on the earlier work of many eminent scholars,
  • 94. especially Rudolf Arnheim, Ernst Gombrich, Richard Gregory and Roland Penrose, all of whom have written extensively and eloquently about art. I was especially intrigued by the ingenious recent speculations on art by the physiolo- gist Semir Zeki — particularly his insight that neurons in the visual pathways often seem to do exactly what the artist himself is trying to do, e.g. the extraction of contrast. (Although I part company with him on certain specifics. For instance, he says cubism was a failure whereas I present I very specific explanation of why cubism is a success and offer a precise mechanism in terms on neural circuitry.) But one also needs to address the question of why the artist’s ‘mimicking’ what the neurons are doing should be pleasing to the organism. For this one needs to borrow ideas from computational vision and evolutionary biology. A proper answer to why requires teleology. Freeman: We all owe a general debt to earlier research, but
  • 95. haven’t some of your quite specific ideas been proposed before? For example, one of your laws is ‘grouping’. Wasn’t this well known to the Gestaltists? Ramachandran: Yes, indeed we owe a major dept to the Gestaltists and much of this has been expounded to modern audiences by Arnheim and Gombrich. Many of the ‘laws’ I have described have indeed been foreshadowed by others and I cite all those that I am aware of. One must be careful, however, not to read too much (by hindsight) into these early glimmerings. For example one could argue that the so-called Pythagoras theorem is already implied in the first axioms of Euclid, but we still give Pythagoras the credit for making it explicit. (Incidentally, this theo- rem was already known to Indian mathematicians a millennium earlier, but we call it ‘Pythagoras theorem’ because the Indians did not have a proof — only Pythagoras did.) Likewise the atomic theory was known to Jains in India several
  • 96. hundred years before Christ, but we usually credit Dalton (who himself drew on the ancient Greek Epicureans) because he was the first to marshall all the evi- dence in its favour into a comprehensive scientifically testable scheme. Secondly, we believe that some of the laws we propose (and certainly the spe- cific experimental tests) are in fact completely new, to the best of our knowledge. Thirdly, our goal is not so much to propose an entirely new theory of art as to bring together strands of evidence from seemingly unrelated disciplines such as single unit neurophysiology, ethology, perceptual psychology and evolutionary biology. And judging from the volume of responses received, it seems to have served as a forum for debate between scholars from all these diverse disciplines. More specifically, I argue that in order to understand any complex mental attrib- ute in humans — be it humour, art, dance, or sex, one needs to have in place three
  • 97. SHARPENING UP ‘THE SCIENCE OF ART’ 17 cornerstones: First, the underlying functional logic (e.g. what I call ‘laws’). Sec- ond, the evolutionary rationale, i.e., speaking teleologically, why do the laws have the ‘form’ that they do? (e.g. evolution has wired into your brain the ‘rule’ that grouping is pleasing and attention grabbing). Third, an understanding of what is the neural hardware in the brain that mediates the law in question. As a specific example of these three ‘corners’ of an argument consider the following. In the ‘law of grouping’, the functional logic is to link scattered fragments into a whole. It’s evolutionary rationale is to help defeat camouflage and find objects in noisy environments: vision evolved in our primate ancestors mainly to find objects quickly and efficiently but not infallibly. And third, we suggest that as soon as the fragments are bound, there is a synchronization of
  • 98. neuronal spikes of those neurons (Singer and Grey, 1995) that fire for different parts of an object and it is this synchrony that causes an ‘AHA’ reward signal to be sent to the limbic system (Ramachandran and Hirstein, 1999). So while most artists, fashion designers and art historians may be aware of the grouping law they may not be aware of the evolutionary rationale nor of the neural mechanism (synchrony of spikes causing a reward signal to be sent to the limbic system). And we attempt to do this not just for grouping but for all eight of our laws. Finally, as Richard Gregory points out in his commentary, we make novel pre- dictions and propose specific experimental tests (e.g. our physiological experi- ment on Picasso). Without such empirical tests, ‘theories’ of art are merely intellectual exercises of the kind philosophers engage in. Freeman: Aren’t some of your principles well known to practising artists? For
  • 99. example, what you call ‘isolation’ or minimalism is surely very familiar. Ramachandran: I don’t deny that some of my laws have been foreshadowed by others and some have even been explicitly stated. But what I have tried to do is to spell out each law in considerable detail, point out its logical consequences, explore the evolutionary rationale of the law and (when possible) propose physio- logical mechanisms and experimental predictions. Each of these approaches on its own is insufficient. Let me illustrate what I mean using three of my laws, isolation, symmetry, and ‘peekaboo’ (or perceptual problem solving), all of which are well known to artists. We also need to avoid internal contradictions among the ‘laws’ — e.g. isn’t the principle of isolation or minimalism (‘less is more’) the very antithesis my other law of ‘peak shift’ or hyperbole or exaggera- tion? No it isn’t, and I will explain why. Artists have long known that an outline sketch can be very