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Music and the Brain
Structured neural responses to natural stimuli
Princeton University
Uri Hasson
Psychology department and the Neuroscience Institute
David Heeger
Morwaread Farbood
Gary Marcus
Lab members Collaborators
Yulia Lerner
Chris Honey
Greg Stephens
Janice Chen
Erez Simony
Lauren Silbert
Mor Regev
Who did the work
Complex natural stimuliControl simplified stimuli
Sensory Coding and the Natural Environment
Few well characterized dimensions
linear properties, simple math
Multidimensional
and Messy
Parameterized Scientific investigation
Complex natural stimuliControl simplified stimuli
Real life
Complex
Structured
Movies/Stories/Music
Sensory Coding and the Natural Environment
Memory formation of real world events
Hasson et al. Neuron 2008
Neural responses to natural complex stimuli
Hasson et al. Science 2004
Scan paths of real life events
Hasson et al. In-press
Disruption of brain responses in autism
Hasson et al. Autism Research 2009
Time scale of processing
Hasson et al. J neuroscience 2008
Using movies as a research tool in
cognitive neuroscience
Social communication
Stephan et al. PNAS 2010
Subjects
Experiment / measurements
Inter-subject correlations
Talairach coordinates
Subject 1/Run 1 Subject 2/Run 2
Idiosyncratic responsesSharedsignal Idiosyncratic signal
Intra-SC
Inter-SC
Sharedsignal Idiosyncratic signal
Shared responses
Intra-SC
Inter-SC
Inter-subject correlations
Hasson et al, Science, 2004
So I’m banging out my story and I know it’s good, and then I start to make it better
by adding an element of embellishment. Reporters call this“making shit up”.
And they recommend against crossing that line.
But I had just seen the line crossed between a high-powered dean and an assault with a
pastry, and I kind of liked it.
Real-Life Story Stimulus
“Pie Man”
Story
Early Auditory Cortex
r = 0.55
r = 0.72
Individual subjects
Average subject
Brain Responses to Real-Life Story
“Pie Man”
Story
PrecuneusEarly Auditory Cortex
Angular GyrusInferior Frontal Gyrus
r = 0.66
r = 0.6
r = 0.72
r = 0.41
r = 0.56r = - 0.18
r = 0.1
Brain Responses to Real-Life Story
“Pie Man”
Story
medial view
Left
Hemisphere
Right
Hemisphere
lateral view lateral view
A P P A
r=0.11
0.45
N=11
Brain Responses to Real-Life Story
“Pie Man”
Story
Brahms
Piano Concerto No.1 in D
minor	
Brain Responses to Real-Life Music
A1
M1
M1
STG STG
A1
BG/ThalamusBG/Thalamus
The extent of neural overlap between language-related and music-
related processes
Intermediate summary
Real life stimuli, as movies, stories and music can exert considerable control over
the responses of many brain areas, evoking a similar time course of activity across
all viewers.
How does the brain process such complex and rich
temporal structures?
So I’m banging out my story and I know it’s good, and then I start to make it better
by adding an element of embellishment. Reporters call this“making shit up”.
And they recommend against crossing that line.
But I had just seen the line crossed between a high-powered dean and an assault with a
pastry, and I kind of liked it.
1:43 1:45 1:47
1:50 1:54
1:58
2:05
0:55
Time-scales of Information in a Narrated Story
So
medial view
Left
Hemisphere
Right
Hemisphere
lateral view lateral view
A P P A
r=0.11
0.45
N=11
“Pie Man”
Story
Different Processing Timescales in Different Regions?
Scrambled past
Word Word
present
Coherent pastScrambled past
Extent of past information needed to evoke reliable responses in the present
Entire story
Neural responses
at the present
Coherent past
Paragraph Paragraph
present
Coherent pastScrambled past
Sentence Sentence
present
Coherent pastScrambled past
present
Long
memory
No
memory
Intermediate
Words
Parametric variation of the temporal structure of a verbal
monologue
Paragraphs
Backward
Sentences
Intact story
Temporal rate is fixed
Each 7 minutes condition is
composed of the exact same basic
units
A P P
Reverselateral
medial
AP P
LH RH
q<0.05 (FDR)
N = 11
A
Inter-subject Correlation During a Narrated Story
Words
Sentences
Paragraphs
medial view
Left
Hemisphere
Right
Hemisphere
lateral view lateral view
A P P A
AP P
N = 11
sent paragrev words
A Hierarchy of Processing Timescales
A1+ TPJ
Temporo-Parietal Axis
FS P S W R
correlation
sent (S) parag (P)rev (R) words (W)
FS P S W R FS P S W R
N = 11
1
2
3
4
5
FS P S W R
A Hierarchy of Processing Timescales
auditory story
+
silent movie
short mid long overlap
=
Processing Time-Varying Information About the World
Bars Phrases
Sections
Intact
Short temporal scales Mid temporal scales Long temporal scales
Reversed
Parametric	
  varia+on	
  of	
  the	
  coherent	
  	
  
temporal	
  structure	
  within	
  a	
  music	
  piece	
  
	
  
Brahms	
  	
  
Piano	
  Concerto	
  No.1	
  in	
  D	
  
minor
Musical Temporal Receptive Windows
A1+
Musical vs. Linguistic based Temporal Receptive Windows
Musical vs. Linguistic based Temporal Receptive Windows
Word/bar
present
Short temporal integration window
Extent of past information needed to evoke reliable responses in the present
Entire story/musical piece
present
Long temporal integration window
Paragraph/section
present
Intermediate temporal integration window
Sentence/phrase
present
Intermediate temporal integration window
present
Long
memory
No
memory
Intermediate
Spatial Scale Temporal Scale
Hubel & Wiesel (1959)
J Physiol
Gross et al (1972)
J Neurophysiol
Ungerleider & Mishkin (1982)
Analysis of Behavior
Functional Hierarchy
A Hierarchy of Temporal Receptive Windows
Accumulating information over space
and time
Space
Time
Electrode in IT cortex
Temporal Receptive Window in IT cortex
A Hierarchy of Temporal Receptive Windows
Integrate Real-World Information
Baddeley & Hitch (1974)
Classical
Working Memory
Model
Hierarchy of Temporal Receptive Windows
Limited Capacity Bottleneck
Processing Time Scales and Working Memory
Maintain Discrete Units of Information
The end
Is Integration Temporal or Ordinal?
Essential Role of Time Essential Role of Semantic Units
Or Both?
See also Howard & Eichenbaum (in press) JEP General
versus
Temporal units and the information units are easily dissociated in real-life speech
100%
75%
50%
150%
200%
Time
Yulia Lerner
Our speech perception is invariant to changes in rate
Is Integration Really Temporal or Just Ordinal?
Essential Role of Time Essential Role of Semantic Units
Speech intelligibility recovered
by insertion of pauses
Rescaling of neural responses
throughout the brain
Memory for absolute tempo
in musical sequences
Integration of information over time
much easier for meaningful speech
Neurophysiology has intrinsic timescales
Or Both?
Ghitza & Greenberg (2009)
Lerner et al (submitted)
See also Howard & Eichenbaum (in press) JEP General
“Time”cells in hippocampus
Naya & Suzuki (2011)
Macdonald et al (2011)
Behavioral invariance
to moderate changes in stimulus rate
Levitin & Cook (1996)
Time NOWAccessibility
low high
Timescales of Information
Integrate Real-World Information
Cowan (1999)
Embedded
Processes Model
Working Memory =“Activated”Memory Traces
Activated
Memory
Central
Executive
Long Term Memory
Attended
Processing Time Scales and Working Memory
Hebb (1949)
Activated
Cell Assemblies
Hierarchy of Temporal Receptive Windows
Time vs. accumulation of information over time
Integrate Real-World Information
Persistent Neuronal Activity
Activated
Memory
Central
Executive
Long Term Memory
Attended
Funahashi et al (1989)
Gnadt & Anderson (1988)
Goldman-Rakic (1996)
Processing Time Scales and Working Memory
Hierarchy of Temporal Receptive Windows
Hypothesis
A Hierarchy of Timescales in Brain Dynamics
Hierarchy of Temporal Receptive Windows
Open Questions
Is the hippocampus required to sustain the long temporal receptive windows?
What happens in the hierarchy at (macro & micro) event boundaries?
c.f. Ranganath & Ritchie (2012) Nat Rev Neurosci
Lab Questions
Should I shorten the title?
Present larger questions at the beginning or at the end?
Emphasize /time/ or mental context
Narrative style or argument style?
Different Processing Timescales in Different Regions?
Criterion One
minimum prior duration of coherent
information required for a response
responses invariant to changes
beyond a maximum duration
Criterion One
Criterion Two
minimum amount of coherent
information required for a response
Different Processing Timescales in Different Regions?
equals
Study of Naturalistic Perception
Costs Benefits
Poorer experimental control
Poorer experimental control
Why unrelated materials?
Why under conditions of distraction?
Working Memory Experiments
Memory systems are organized to represent the real world.
We may look into that window on the mind as through a glass darkly,
but what we are beginning to discern there looks very much like a
reflection of the world.
Roger Shepard (1990) Mind Sights
Perceptual systems are organized to represent the real world.
Anderson & Schooler (1991) Psych Science
Bartlett (1932) Remembering
Neisser (1978) Practical Aspects of Memory
Stimulus locked Circuit Dynamics using BOLD
Mary Potter
fast semantics
stabilization idea
ISC?
Van Dijk & Kintsch
unavaoidable semantics
the log was on the tutrlte
McLelland and Rumelhart
Bransford and Johnson
effects on memory
Stabiliza
Inter-subject Correlation during Movie Viewing
Single Subjects (N=9)
Mean Timecourse
medial view
Left
Hemisphere
Right
Hemisphere
lateral view lateral view
A P P A
r=0.15
0.55
Single Subjects (N=9)
Mean Timecourse
medial view
Left
Hemisphere
Right
Hemisphere
lateral view lateral view
A P P A
r=0.15
0.55
Inter-subject Correlation during Movie Viewing
Processing Time Scales and Working Memory
Working memory is the
“ability to keep a representation active,
particularly in the face of interference and distraction”.
Engle et al (1999) JEP:General
Youssef Ezzyat, Lila Davachi (NYU): Neural mechanisms supporting the temporal organization of episodic long-term
memory
Discussant: Per Sederberg (Ohio State)
Christopher J. Honey, Janice Chen, Erez Simony, Olga Lositsky, Daniel Toker, Kenneth A. Norman, Uri
Hasson (Princeton): Temporal receptive windows in natural perception: a topographic map of mental context
Discussant: Ryan Canolty (UC Berkeley)
Gregory J. Koop, Amy H. Criss (Syracuse): Response dynamics as a measure of bias and strength in recognition
memory
Discussant: Adam Osth (Ohio State)
Isabel A. Muzzio (Penn): Effects of emotion on hippocampal contextual representations
Discussant: Sam Gershman (MIT)
Robert M. Nosofsky, Christopher Donkin, Jason M. Gold, Richard M. Shiffrin (Indiana University): Discrete-slots
models of visual working memory response times
Discussant: Michael Lee (UC Irvine)
Sean M. Polyn (Vanderbilt): Incorporating neural signals into computational models of memory search
Discussant: Jeremy Manning (Princeton)
Alison R. Preston (University of Texas): Building new knowledge through memory integration
Discussant: Marc Howard (Boston University)
Maureen Ritchey, Andrew P. Yonelinas, Charan Ranganath (UC Davis): Medial temporal lobe subregions interact
with functionally distinct systems
Discussant: Ken Norman (Princeton)
Karthik Shankar, Marc W. Howard (Boston University): Optimally fuzzy memory
Discussant: Sue Becker (McMaster University)
Geoff Ward, Cathleen Cortis, Rachel Grenfell-Essam, Jessica Spurgeon, Lydia Tan (University of Essex): Why do
participants initiate their immediate free recall of short lists of words with the first list item?
Discussant:Karl Healey (Penn)
26 minutes for primary speaker; 13 minutes for discussant; 6 for questions
“whole” “scrambled”“grid”
Scrambling Objects in Space
completion no completion
Lerner 2003
“whole” “scrambled”“grid”
1
2
212
2
1
1 2 1
Lerner 2003
Scrambling Objects in Space
1
2

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Uri Hasson - Neurocinematics: The Neuroscience of Film

  • 1. Music and the Brain Structured neural responses to natural stimuli Princeton University Uri Hasson Psychology department and the Neuroscience Institute
  • 2. David Heeger Morwaread Farbood Gary Marcus Lab members Collaborators Yulia Lerner Chris Honey Greg Stephens Janice Chen Erez Simony Lauren Silbert Mor Regev Who did the work
  • 3. Complex natural stimuliControl simplified stimuli Sensory Coding and the Natural Environment Few well characterized dimensions linear properties, simple math Multidimensional and Messy Parameterized Scientific investigation
  • 4. Complex natural stimuliControl simplified stimuli Real life Complex Structured Movies/Stories/Music Sensory Coding and the Natural Environment
  • 5. Memory formation of real world events Hasson et al. Neuron 2008 Neural responses to natural complex stimuli Hasson et al. Science 2004 Scan paths of real life events Hasson et al. In-press Disruption of brain responses in autism Hasson et al. Autism Research 2009 Time scale of processing Hasson et al. J neuroscience 2008 Using movies as a research tool in cognitive neuroscience Social communication Stephan et al. PNAS 2010
  • 7.
  • 10. Sharedsignal Idiosyncratic signal Shared responses Intra-SC Inter-SC
  • 12. So I’m banging out my story and I know it’s good, and then I start to make it better by adding an element of embellishment. Reporters call this“making shit up”. And they recommend against crossing that line. But I had just seen the line crossed between a high-powered dean and an assault with a pastry, and I kind of liked it. Real-Life Story Stimulus “Pie Man” Story
  • 13. Early Auditory Cortex r = 0.55 r = 0.72 Individual subjects Average subject Brain Responses to Real-Life Story “Pie Man” Story
  • 14. PrecuneusEarly Auditory Cortex Angular GyrusInferior Frontal Gyrus r = 0.66 r = 0.6 r = 0.72 r = 0.41 r = 0.56r = - 0.18 r = 0.1 Brain Responses to Real-Life Story “Pie Man” Story
  • 15. medial view Left Hemisphere Right Hemisphere lateral view lateral view A P P A r=0.11 0.45 N=11 Brain Responses to Real-Life Story “Pie Man” Story
  • 16. Brahms Piano Concerto No.1 in D minor Brain Responses to Real-Life Music A1 M1 M1 STG STG A1 BG/ThalamusBG/Thalamus
  • 17. The extent of neural overlap between language-related and music- related processes
  • 18. Intermediate summary Real life stimuli, as movies, stories and music can exert considerable control over the responses of many brain areas, evoking a similar time course of activity across all viewers.
  • 19. How does the brain process such complex and rich temporal structures?
  • 20. So I’m banging out my story and I know it’s good, and then I start to make it better by adding an element of embellishment. Reporters call this“making shit up”. And they recommend against crossing that line. But I had just seen the line crossed between a high-powered dean and an assault with a pastry, and I kind of liked it. 1:43 1:45 1:47 1:50 1:54 1:58 2:05 0:55 Time-scales of Information in a Narrated Story So
  • 21. medial view Left Hemisphere Right Hemisphere lateral view lateral view A P P A r=0.11 0.45 N=11 “Pie Man” Story Different Processing Timescales in Different Regions?
  • 22. Scrambled past Word Word present Coherent pastScrambled past Extent of past information needed to evoke reliable responses in the present Entire story Neural responses at the present Coherent past Paragraph Paragraph present Coherent pastScrambled past Sentence Sentence present Coherent pastScrambled past present Long memory No memory Intermediate
  • 23. Words Parametric variation of the temporal structure of a verbal monologue Paragraphs Backward Sentences Intact story Temporal rate is fixed Each 7 minutes condition is composed of the exact same basic units
  • 24. A P P Reverselateral medial AP P LH RH q<0.05 (FDR) N = 11 A Inter-subject Correlation During a Narrated Story Words Sentences Paragraphs
  • 25. medial view Left Hemisphere Right Hemisphere lateral view lateral view A P P A AP P N = 11 sent paragrev words A Hierarchy of Processing Timescales
  • 26. A1+ TPJ Temporo-Parietal Axis FS P S W R correlation sent (S) parag (P)rev (R) words (W) FS P S W R FS P S W R N = 11 1 2 3 4 5 FS P S W R A Hierarchy of Processing Timescales
  • 27. auditory story + silent movie short mid long overlap = Processing Time-Varying Information About the World
  • 28. Bars Phrases Sections Intact Short temporal scales Mid temporal scales Long temporal scales Reversed Parametric  varia+on  of  the  coherent     temporal  structure  within  a  music  piece     Brahms     Piano  Concerto  No.1  in  D   minor
  • 30. Musical vs. Linguistic based Temporal Receptive Windows
  • 31. Musical vs. Linguistic based Temporal Receptive Windows
  • 32. Word/bar present Short temporal integration window Extent of past information needed to evoke reliable responses in the present Entire story/musical piece present Long temporal integration window Paragraph/section present Intermediate temporal integration window Sentence/phrase present Intermediate temporal integration window present Long memory No memory Intermediate
  • 33. Spatial Scale Temporal Scale Hubel & Wiesel (1959) J Physiol Gross et al (1972) J Neurophysiol Ungerleider & Mishkin (1982) Analysis of Behavior Functional Hierarchy A Hierarchy of Temporal Receptive Windows
  • 34. Accumulating information over space and time Space Time Electrode in IT cortex Temporal Receptive Window in IT cortex A Hierarchy of Temporal Receptive Windows
  • 35. Integrate Real-World Information Baddeley & Hitch (1974) Classical Working Memory Model Hierarchy of Temporal Receptive Windows Limited Capacity Bottleneck Processing Time Scales and Working Memory Maintain Discrete Units of Information
  • 37.
  • 38. Is Integration Temporal or Ordinal? Essential Role of Time Essential Role of Semantic Units Or Both? See also Howard & Eichenbaum (in press) JEP General versus
  • 39. Temporal units and the information units are easily dissociated in real-life speech 100% 75% 50% 150% 200% Time
  • 40. Yulia Lerner Our speech perception is invariant to changes in rate
  • 41. Is Integration Really Temporal or Just Ordinal? Essential Role of Time Essential Role of Semantic Units Speech intelligibility recovered by insertion of pauses Rescaling of neural responses throughout the brain Memory for absolute tempo in musical sequences Integration of information over time much easier for meaningful speech Neurophysiology has intrinsic timescales Or Both? Ghitza & Greenberg (2009) Lerner et al (submitted) See also Howard & Eichenbaum (in press) JEP General “Time”cells in hippocampus Naya & Suzuki (2011) Macdonald et al (2011) Behavioral invariance to moderate changes in stimulus rate Levitin & Cook (1996)
  • 42.
  • 44. Integrate Real-World Information Cowan (1999) Embedded Processes Model Working Memory =“Activated”Memory Traces Activated Memory Central Executive Long Term Memory Attended Processing Time Scales and Working Memory Hebb (1949) Activated Cell Assemblies Hierarchy of Temporal Receptive Windows
  • 45. Time vs. accumulation of information over time
  • 46. Integrate Real-World Information Persistent Neuronal Activity Activated Memory Central Executive Long Term Memory Attended Funahashi et al (1989) Gnadt & Anderson (1988) Goldman-Rakic (1996) Processing Time Scales and Working Memory Hierarchy of Temporal Receptive Windows
  • 47. Hypothesis A Hierarchy of Timescales in Brain Dynamics Hierarchy of Temporal Receptive Windows
  • 48. Open Questions Is the hippocampus required to sustain the long temporal receptive windows? What happens in the hierarchy at (macro & micro) event boundaries? c.f. Ranganath & Ritchie (2012) Nat Rev Neurosci
  • 49. Lab Questions Should I shorten the title? Present larger questions at the beginning or at the end? Emphasize /time/ or mental context Narrative style or argument style?
  • 50. Different Processing Timescales in Different Regions? Criterion One minimum prior duration of coherent information required for a response
  • 51. responses invariant to changes beyond a maximum duration Criterion One Criterion Two minimum amount of coherent information required for a response Different Processing Timescales in Different Regions? equals
  • 52. Study of Naturalistic Perception Costs Benefits Poorer experimental control Poorer experimental control
  • 53. Why unrelated materials? Why under conditions of distraction? Working Memory Experiments
  • 54. Memory systems are organized to represent the real world. We may look into that window on the mind as through a glass darkly, but what we are beginning to discern there looks very much like a reflection of the world. Roger Shepard (1990) Mind Sights Perceptual systems are organized to represent the real world. Anderson & Schooler (1991) Psych Science Bartlett (1932) Remembering Neisser (1978) Practical Aspects of Memory
  • 55. Stimulus locked Circuit Dynamics using BOLD
  • 56. Mary Potter fast semantics stabilization idea ISC? Van Dijk & Kintsch unavaoidable semantics the log was on the tutrlte McLelland and Rumelhart Bransford and Johnson effects on memory Stabiliza
  • 57. Inter-subject Correlation during Movie Viewing Single Subjects (N=9) Mean Timecourse medial view Left Hemisphere Right Hemisphere lateral view lateral view A P P A r=0.15 0.55
  • 58. Single Subjects (N=9) Mean Timecourse medial view Left Hemisphere Right Hemisphere lateral view lateral view A P P A r=0.15 0.55 Inter-subject Correlation during Movie Viewing
  • 59. Processing Time Scales and Working Memory Working memory is the “ability to keep a representation active, particularly in the face of interference and distraction”. Engle et al (1999) JEP:General
  • 60. Youssef Ezzyat, Lila Davachi (NYU): Neural mechanisms supporting the temporal organization of episodic long-term memory Discussant: Per Sederberg (Ohio State) Christopher J. Honey, Janice Chen, Erez Simony, Olga Lositsky, Daniel Toker, Kenneth A. Norman, Uri Hasson (Princeton): Temporal receptive windows in natural perception: a topographic map of mental context Discussant: Ryan Canolty (UC Berkeley) Gregory J. Koop, Amy H. Criss (Syracuse): Response dynamics as a measure of bias and strength in recognition memory Discussant: Adam Osth (Ohio State) Isabel A. Muzzio (Penn): Effects of emotion on hippocampal contextual representations Discussant: Sam Gershman (MIT) Robert M. Nosofsky, Christopher Donkin, Jason M. Gold, Richard M. Shiffrin (Indiana University): Discrete-slots models of visual working memory response times Discussant: Michael Lee (UC Irvine) Sean M. Polyn (Vanderbilt): Incorporating neural signals into computational models of memory search Discussant: Jeremy Manning (Princeton) Alison R. Preston (University of Texas): Building new knowledge through memory integration Discussant: Marc Howard (Boston University) Maureen Ritchey, Andrew P. Yonelinas, Charan Ranganath (UC Davis): Medial temporal lobe subregions interact with functionally distinct systems Discussant: Ken Norman (Princeton) Karthik Shankar, Marc W. Howard (Boston University): Optimally fuzzy memory Discussant: Sue Becker (McMaster University) Geoff Ward, Cathleen Cortis, Rachel Grenfell-Essam, Jessica Spurgeon, Lydia Tan (University of Essex): Why do participants initiate their immediate free recall of short lists of words with the first list item? Discussant:Karl Healey (Penn) 26 minutes for primary speaker; 13 minutes for discussant; 6 for questions
  • 61. “whole” “scrambled”“grid” Scrambling Objects in Space completion no completion Lerner 2003
  • 62. “whole” “scrambled”“grid” 1 2 212 2 1 1 2 1 Lerner 2003 Scrambling Objects in Space 1 2