SlideShare a Scribd company logo
Visual Pathways:
The Road to Vision
Anthony DeSimone LDO
Visual Pathway
   “Focus on the Eye”
    • Concerned about
       Cornea
       Lens

       Retina

   There is more to vision than meets
    the eye
Retinal Fields vs. Visual Fields
   What’s the difference
    • Retinal Field – describes the area that includes
      neural fibers of the retina that are receiving
      light from some object
    • Visual Field – describes the area in space
      where the object lies
   They are the reversal of one another
    • The nasal retinal field receives light from the
      temporal visual field
    • The temporal retinal field receives light from
      the nasal visual field
Temporal          Temporal
Visual field      Visual Field


Nasal Visual      Nasal Visual
Field             Field




  Temporal         Temporal
  Retinal field   Retinal Field

  Nasal Retinal     Nasal Retinal
  Field             Field
Optic Chiasm
   Partial decussation (cross-over) of
    Optic Nerve fibers occurs at the level
    of the Optic Chiasm
    • Only nasal retinal fibers (from the nasal
      retinal field) cross over
    • Temporal nasal fibers (from the
      temporal retinal field) do not.
Lateral Aspect
Inferior Aspect




1. Optic Nerve (stump)
2. Optic Chiasm
3. Optic Tract
Optic Tract
   Optic tract
   It is important for the sense of sight.
   By convention, the optic tract is defined as
    that extent of the visual system pathway
    from the optic chiasm to the lateral
    geniculate nucleus of the thalamus.
   Each optic tract contains axons from
    ganglion cells in the retinas of both the left
    and right eyes, but information from only
    one half (i.e either left or right) of each
    eye's visual field
Nerve Cells
Chiasm


LGN


               Optic Tracts
Lateral Geniculate Body
   After the optic tract, the next stop is
    the Lateral Geniculate Body (or
    Lateral Geniculate Nucleus)
LGN
• Optic nerve fibers from the optic
tracts terminate at two bodies in the
thalamus (a structure in the middle
of the brain) known as the Lateral
Geniculate Nuclei (or LGN for
short).
• One LGN lies in the left
hemisphere and the other lies in the
right hemisphere.
• Each has six layers
The optic tract wraps around the
cerebral peduncles of the
midbrain to get to the lateral
geniculate nucleus (LGN), which
is a part of the thalamic sensory
relay system.

There are two geniculate nuclei,
located on either side of the rear
end of the thalamus. They each
consist of six cellular layers,
forming a threefold
representation of the opposite
binocular visual hemifield in
exact anatomic registration.
This apparently
complicated arrangement
is engineered so that the
right LGN receives
information about the left
visual field, and the left
LGN receives information
about the right visual
field.
LGN
   This layered structure is
    exquisitely precise in two
    ways.
    • First, cells in different layers
      that align (like the numbers in
      the picture) have receptive
      fields in the same area of
      retina.
    • Second, optic nerve fibers
      from the two eyes are
      segregated in different layers.
      If you look carefully at the
      projections to the LGN, you
      will see that ipsilateral fibers
      arrive in layers 2, 3, and 5,
      while contralateral fibers
      arrive in layers 1, 4, and 6
      (no-one knows why).
LGN Cell Types
   All cells in the LGN have concentric
    receptive fields, just like the ganglion cells
    whose fibers terminate in the LGN.
   Layers 1 and 2 are made up of cells with
    large bodies ("magnocellular") that have
    monochromatic responses (ie. mediate
    responses to light and dark)
   Layers 3 to 6 are made up of cells with
    small bodies ("parvocellular") that mediate
    color vision.
Optic Radiations
   Leaving the LGN are optic radiations
   Optic radiations are a collection of axons
    from relay neurons in the lateral
    geniculate nucleus of the thalamus.
   They carry visual information to the visual
    cortex (also called striate cortex) along
    the calcarine fissure.
   There is one such tract on each side of the
    brain.
Meyer’s Loop
   The optic radiations follow a very wide three
    dimensional arc. Here is how the radiations are
    conventionally drawn, and how they look from the
    side
   The longer loop actually dives into the temporal
    lobe before it heads back to the occipital lobe.
   This group of fibers is called Meyer's loop. Recall
    that, since the lens inverts all images, the lower
    half of the retina sees the upper half of the world.
    This orientation is preserved through the pathway,
    so that the lower optic radiations, or Meyer's loop,
    are carrying information from the upper visual
    world.
Meyer’s Loop
Striate Cortex (V1)
Retinotopic Mapping
   In lower visual areas (e.g., V1 through V5) the
    neurons are organized in an orderly fashion called
    topographic or retinotopic mapping
    • they form a 2D representation of the visual image
      formed on the retina in such a way that neighboring
      regions of the image are represented by neighboring
      regions of the visual area
   But this retinotopic representation in the cortical
    areas is distorted.
   The foveal area is represented by a relatively
    larger area in V1 than the peripheral areas.
Visual Cortex
   Much of the primate cortex is
    devoted to visual processing.
    • In the macaque monkey at least 50% of
      the neocortex appears to be directly
      involved in vision, with over twenty
      distinct areas.
    • Some of the areas concerned are quite
      well understood, others are still a
      complete mystery.
Visual Cortex
   Nearly all visual information reaches the
    cortex via V1, the largest and most
    important visual cortical area.
   Because of its stripey appearance this area
    is also known as striate cortex, amongst
    other things.
   Other areas of visual cortex are known as
    extrastriate visual cortex
    • the more important areas are V2, V3, V4 and
      MT (also known as .....V5!).
Areas of Visual Cortex
V1
   In primates nearly all visual
    information enters the cortex via
    area V1. This area is located in the
    occipital lobe at the back of the
    brain. It is also known as:

    -   primary visual cortex
    -   area 17
    -   striate cortex.
V1
 This region represents about 5% of
  the neocortex in man.
 It is the most complex region of the

  cortex with at least 6 identifiable
  layers
    • layer 1 is close to the cortical surface,
      layer 6 adjoins the white matter below
V1
Simple Cells
   Simple cell receptive fields contain sub-regions
    that exert an excitatory influence on the cell's
    response (light grey in the picture), and sub-
    regions that exert an inhibitory influence (dark
    grey in the picture). The blue lines in the picture
    are time traces that plot the onset and offset of
    stimulation. The black vertical lines below them
    indicate individual nerve impulses. The most
    effective stimulus for this particular receptive
    field (left) is one that puts a lot of light in the
    excitatory region, and only a little in the
    inhibitory region.
Response of Simple Cells
Simple Cells
   It must have the right orientation, the
    right position, and the right size. Stimuli
    that are non-optimal in terms of position
    (middle left), or orientation (middle right),
    or size (right) are less effective. Simple
    cell receptive fields could be 'built' in the
    cortex by collecting responses from LGN
    cells whose receptive fields fall along a line
    across the retina, but the exact wiring is
    still the subject of debate.
Complex Cells
   Complex cells are the most numerous in
    V1 (perhaps making up three-quarters of
    the population). Like Simple cells, they
    respond only to appropriately oriented
    stimuli, but unlike Simple cells, they are
    not fussy about the position of the
    stimulus, as along as it falls somewhere
    inside the receptive field (left and middle-
    left examples above). Many complex cells
    are also direction-selective, in the sense
    that they respond only when the stimulus
    moves in one direction and not when it
    moves in the opposite direction
Response of Complex Cells
Orientation Cells
   Hubel and Wiesel were the first to discover that cells in V1
    are arranged in a beautifully precise and orderly fashion.
   Hubel and Wiesel found that as one advances deeper into
    the cortex through successive layers perpendicular to the
    surface, all cells that have orientation tuning prefer the
    same orientation.
   On the other hand, moving across the surface of the
    cortex, orientation tuning mostly changes in an orderly
    fashion (as shown by the small lines in the picture).
   Hubel and Wiesel used the term "orientation columns" to
    describe this arrangement, but they are really slabs rather
    than columns.
Visual pathway
Visual pathway

More Related Content

What's hot

ocular Anatomy visual pathway dr.mohammed
ocular Anatomy visual pathway dr.mohammedocular Anatomy visual pathway dr.mohammed
ocular Anatomy visual pathway dr.mohammed
mohammed muneer
 
Anatomy of retina
Anatomy of retinaAnatomy of retina
Anatomy of retina
Sajjan Sangai
 
Extraocular muscles
Extraocular muscles Extraocular muscles
Extraocular muscles
DineshDhawal
 
Anatomy of Optic Nerve
Anatomy of Optic NerveAnatomy of Optic Nerve
Anatomy of Optic Nerve
Sarmila Acharya
 
Anatomy of visual pathway and its lesions.
Anatomy of visual pathway and its lesions.Anatomy of visual pathway and its lesions.
Anatomy of visual pathway and its lesions.Ruchi Pherwani
 
Visual pathway & its lesions
Visual pathway & its lesionsVisual pathway & its lesions
Visual pathway & its lesions
Dr Sara Sadiq
 
Anatomy of extraocular muscles and ocular motility
Anatomy of extraocular muscles and ocular motilityAnatomy of extraocular muscles and ocular motility
Anatomy of extraocular muscles and ocular motility
vanya kodali
 
Pupillary light reflex
Pupillary light reflexPupillary light reflex
Pupillary light reflex
Thomas Mbezi
 
Lps and orbicularis oculi
Lps and orbicularis oculiLps and orbicularis oculi
Lps and orbicularis oculiSamia Rahman
 
Optic pathway and lesions
Optic pathway and lesionsOptic pathway and lesions
Optic pathway and lesions
Uma Chidiebere
 
Visual pathway ppt
Visual pathway pptVisual pathway ppt
Visual pathway ppt
anupama manoharan
 
Eom ppt
Eom pptEom ppt
Eom pptLhacha
 
Anatomy of lateral geniculate body and visual cortex
Anatomy of lateral geniculate body and visual cortexAnatomy of lateral geniculate body and visual cortex
Anatomy of lateral geniculate body and visual cortex
Ruturaj Sahoo
 
Visual pathways
Visual pathwaysVisual pathways
Visual pathways
Dr Himanshu Soni
 
Anatomy of optic nerve and its clinical significance
Anatomy of optic nerve and its clinical significanceAnatomy of optic nerve and its clinical significance
Anatomy of optic nerve and its clinical significance
Pabita Dhungel
 
Eye muscles and ocular movements, laws of ocular motility
Eye muscles and ocular movements, laws of ocular motilityEye muscles and ocular movements, laws of ocular motility
Eye muscles and ocular movements, laws of ocular motility
C'kariim Max'ud
 
Visual pathways and optic nerve.
Visual pathways and optic nerve.Visual pathways and optic nerve.
Visual pathways and optic nerve.
Ejaz Haq
 

What's hot (20)

ocular Anatomy visual pathway dr.mohammed
ocular Anatomy visual pathway dr.mohammedocular Anatomy visual pathway dr.mohammed
ocular Anatomy visual pathway dr.mohammed
 
BLOOD SUPPLY OF VISUAL PATHWAY
BLOOD SUPPLY OF VISUAL PATHWAYBLOOD SUPPLY OF VISUAL PATHWAY
BLOOD SUPPLY OF VISUAL PATHWAY
 
Anatomy of retina
Anatomy of retinaAnatomy of retina
Anatomy of retina
 
Extraocular muscles
Extraocular muscles Extraocular muscles
Extraocular muscles
 
Anatomy of Optic Nerve
Anatomy of Optic NerveAnatomy of Optic Nerve
Anatomy of Optic Nerve
 
Anatomy of visual pathway and its lesions.
Anatomy of visual pathway and its lesions.Anatomy of visual pathway and its lesions.
Anatomy of visual pathway and its lesions.
 
Visual pathway & its lesions
Visual pathway & its lesionsVisual pathway & its lesions
Visual pathway & its lesions
 
Pupil - SSJ,CALICUT MEDICAL COLLEGE
Pupil - SSJ,CALICUT MEDICAL COLLEGEPupil - SSJ,CALICUT MEDICAL COLLEGE
Pupil - SSJ,CALICUT MEDICAL COLLEGE
 
Anatomy of extraocular muscles and ocular motility
Anatomy of extraocular muscles and ocular motilityAnatomy of extraocular muscles and ocular motility
Anatomy of extraocular muscles and ocular motility
 
Pupillary light reflex
Pupillary light reflexPupillary light reflex
Pupillary light reflex
 
Lps and orbicularis oculi
Lps and orbicularis oculiLps and orbicularis oculi
Lps and orbicularis oculi
 
Optic pathway and lesions
Optic pathway and lesionsOptic pathway and lesions
Optic pathway and lesions
 
Visual pathway ppt
Visual pathway pptVisual pathway ppt
Visual pathway ppt
 
Eom ppt
Eom pptEom ppt
Eom ppt
 
Anatomy of lateral geniculate body and visual cortex
Anatomy of lateral geniculate body and visual cortexAnatomy of lateral geniculate body and visual cortex
Anatomy of lateral geniculate body and visual cortex
 
Visual pathways
Visual pathwaysVisual pathways
Visual pathways
 
Anatomy of optic nerve and its clinical significance
Anatomy of optic nerve and its clinical significanceAnatomy of optic nerve and its clinical significance
Anatomy of optic nerve and its clinical significance
 
Extraocular muscles
Extraocular musclesExtraocular muscles
Extraocular muscles
 
Eye muscles and ocular movements, laws of ocular motility
Eye muscles and ocular movements, laws of ocular motilityEye muscles and ocular movements, laws of ocular motility
Eye muscles and ocular movements, laws of ocular motility
 
Visual pathways and optic nerve.
Visual pathways and optic nerve.Visual pathways and optic nerve.
Visual pathways and optic nerve.
 

Similar to Visual pathway

Physiology of the visual pathway & cerebral integration
Physiology of the visual pathway & cerebral integrationPhysiology of the visual pathway & cerebral integration
Physiology of the visual pathway & cerebral integration
Henok Samuel
 
Cnshubelandwiesel
CnshubelandwieselCnshubelandwiesel
Cnshubelandwieselstarfish57
 
Retina and visual tract
Retina and visual tractRetina and visual tract
Retina and visual tract
Muhammad Saim
 
Lecture (Neuroscience)
Lecture (Neuroscience)Lecture (Neuroscience)
Lecture (Neuroscience)
dermengles
 
visualsystem.ppt
visualsystem.pptvisualsystem.ppt
visualsystem.ppt
ConstanzaLagosAmpuer
 
visualpathway-170222022827 (1).pdf
visualpathway-170222022827 (1).pdfvisualpathway-170222022827 (1).pdf
visualpathway-170222022827 (1).pdf
Divya785180
 
Visual pathway
Visual pathwayVisual pathway
Visual pathway
Sathish Rajamani
 
anatomy of retina
anatomy of retinaanatomy of retina
anatomy of retina
Rifat Shamim
 
Central visual processing
Central visual processingCentral visual processing
Central visual processing
Domina Petric
 
Occipital lobe ppt
Occipital lobe pptOccipital lobe ppt
Occipital lobe ppt
NeurologyKota
 
Visual pathway ,visual cortex and hemianopias
Visual pathway ,visual cortex and hemianopiasVisual pathway ,visual cortex and hemianopias
Visual pathway ,visual cortex and hemianopias
Dr.Nusrat Tariq
 
optic pathway and its lesions (2).pptx
optic pathway and its lesions (2).pptxoptic pathway and its lesions (2).pptx
optic pathway and its lesions (2).pptx
Dr K Ambareesha Goud PhD
 
Visual pathway
Visual pathwayVisual pathway
Visual pathway
nikhilprerana
 
160 report
160 report160 report
Retina
RetinaRetina
Central visual pathways
Central visual pathwaysCentral visual pathways
Central visual pathways
Domina Petric
 
visual pathway
visual pathwayvisual pathway
visual pathway
Azizul Islam
 
Visual pathway -"The road to Vision"
Visual pathway -"The road to Vision"Visual pathway -"The road to Vision"
Visual pathway -"The road to Vision"
Harsh Jain
 

Similar to Visual pathway (20)

Physiology of the visual pathway & cerebral integration
Physiology of the visual pathway & cerebral integrationPhysiology of the visual pathway & cerebral integration
Physiology of the visual pathway & cerebral integration
 
Cnshubelandwiesel
CnshubelandwieselCnshubelandwiesel
Cnshubelandwiesel
 
Retina and visual tract
Retina and visual tractRetina and visual tract
Retina and visual tract
 
Lecture (Neuroscience)
Lecture (Neuroscience)Lecture (Neuroscience)
Lecture (Neuroscience)
 
visualsystem.ppt
visualsystem.pptvisualsystem.ppt
visualsystem.ppt
 
visualpathway-170222022827 (1).pdf
visualpathway-170222022827 (1).pdfvisualpathway-170222022827 (1).pdf
visualpathway-170222022827 (1).pdf
 
Visual pathway
Visual pathwayVisual pathway
Visual pathway
 
anatomy of retina
anatomy of retinaanatomy of retina
anatomy of retina
 
Central visual processing
Central visual processingCentral visual processing
Central visual processing
 
Occipital lobe ppt
Occipital lobe pptOccipital lobe ppt
Occipital lobe ppt
 
Pns
PnsPns
Pns
 
Visual pathway ,visual cortex and hemianopias
Visual pathway ,visual cortex and hemianopiasVisual pathway ,visual cortex and hemianopias
Visual pathway ,visual cortex and hemianopias
 
optic pathway and its lesions (2).pptx
optic pathway and its lesions (2).pptxoptic pathway and its lesions (2).pptx
optic pathway and its lesions (2).pptx
 
Visual pathway
Visual pathwayVisual pathway
Visual pathway
 
160 report
160 report160 report
160 report
 
Retina
RetinaRetina
Retina
 
Central visual pathways
Central visual pathwaysCentral visual pathways
Central visual pathways
 
Generator of vep
Generator of vepGenerator of vep
Generator of vep
 
visual pathway
visual pathwayvisual pathway
visual pathway
 
Visual pathway -"The road to Vision"
Visual pathway -"The road to Vision"Visual pathway -"The road to Vision"
Visual pathway -"The road to Vision"
 

Recently uploaded

How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 

Recently uploaded (20)

How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 

Visual pathway

  • 1. Visual Pathways: The Road to Vision Anthony DeSimone LDO
  • 2. Visual Pathway  “Focus on the Eye” • Concerned about  Cornea  Lens  Retina  There is more to vision than meets the eye
  • 3.
  • 4. Retinal Fields vs. Visual Fields  What’s the difference • Retinal Field – describes the area that includes neural fibers of the retina that are receiving light from some object • Visual Field – describes the area in space where the object lies  They are the reversal of one another • The nasal retinal field receives light from the temporal visual field • The temporal retinal field receives light from the nasal visual field
  • 5. Temporal Temporal Visual field Visual Field Nasal Visual Nasal Visual Field Field Temporal Temporal Retinal field Retinal Field Nasal Retinal Nasal Retinal Field Field
  • 6. Optic Chiasm  Partial decussation (cross-over) of Optic Nerve fibers occurs at the level of the Optic Chiasm • Only nasal retinal fibers (from the nasal retinal field) cross over • Temporal nasal fibers (from the temporal retinal field) do not.
  • 7.
  • 9. Inferior Aspect 1. Optic Nerve (stump) 2. Optic Chiasm 3. Optic Tract
  • 10. Optic Tract  Optic tract  It is important for the sense of sight.  By convention, the optic tract is defined as that extent of the visual system pathway from the optic chiasm to the lateral geniculate nucleus of the thalamus.  Each optic tract contains axons from ganglion cells in the retinas of both the left and right eyes, but information from only one half (i.e either left or right) of each eye's visual field
  • 12. Chiasm LGN Optic Tracts
  • 13. Lateral Geniculate Body  After the optic tract, the next stop is the Lateral Geniculate Body (or Lateral Geniculate Nucleus)
  • 14. LGN • Optic nerve fibers from the optic tracts terminate at two bodies in the thalamus (a structure in the middle of the brain) known as the Lateral Geniculate Nuclei (or LGN for short). • One LGN lies in the left hemisphere and the other lies in the right hemisphere. • Each has six layers
  • 15. The optic tract wraps around the cerebral peduncles of the midbrain to get to the lateral geniculate nucleus (LGN), which is a part of the thalamic sensory relay system. There are two geniculate nuclei, located on either side of the rear end of the thalamus. They each consist of six cellular layers, forming a threefold representation of the opposite binocular visual hemifield in exact anatomic registration.
  • 16. This apparently complicated arrangement is engineered so that the right LGN receives information about the left visual field, and the left LGN receives information about the right visual field.
  • 17. LGN  This layered structure is exquisitely precise in two ways. • First, cells in different layers that align (like the numbers in the picture) have receptive fields in the same area of retina. • Second, optic nerve fibers from the two eyes are segregated in different layers. If you look carefully at the projections to the LGN, you will see that ipsilateral fibers arrive in layers 2, 3, and 5, while contralateral fibers arrive in layers 1, 4, and 6 (no-one knows why).
  • 18. LGN Cell Types  All cells in the LGN have concentric receptive fields, just like the ganglion cells whose fibers terminate in the LGN.  Layers 1 and 2 are made up of cells with large bodies ("magnocellular") that have monochromatic responses (ie. mediate responses to light and dark)  Layers 3 to 6 are made up of cells with small bodies ("parvocellular") that mediate color vision.
  • 19. Optic Radiations  Leaving the LGN are optic radiations  Optic radiations are a collection of axons from relay neurons in the lateral geniculate nucleus of the thalamus.  They carry visual information to the visual cortex (also called striate cortex) along the calcarine fissure.  There is one such tract on each side of the brain.
  • 20.
  • 21. Meyer’s Loop  The optic radiations follow a very wide three dimensional arc. Here is how the radiations are conventionally drawn, and how they look from the side  The longer loop actually dives into the temporal lobe before it heads back to the occipital lobe.  This group of fibers is called Meyer's loop. Recall that, since the lens inverts all images, the lower half of the retina sees the upper half of the world. This orientation is preserved through the pathway, so that the lower optic radiations, or Meyer's loop, are carrying information from the upper visual world.
  • 24. Retinotopic Mapping  In lower visual areas (e.g., V1 through V5) the neurons are organized in an orderly fashion called topographic or retinotopic mapping • they form a 2D representation of the visual image formed on the retina in such a way that neighboring regions of the image are represented by neighboring regions of the visual area  But this retinotopic representation in the cortical areas is distorted.  The foveal area is represented by a relatively larger area in V1 than the peripheral areas.
  • 25. Visual Cortex  Much of the primate cortex is devoted to visual processing. • In the macaque monkey at least 50% of the neocortex appears to be directly involved in vision, with over twenty distinct areas. • Some of the areas concerned are quite well understood, others are still a complete mystery.
  • 26. Visual Cortex  Nearly all visual information reaches the cortex via V1, the largest and most important visual cortical area.  Because of its stripey appearance this area is also known as striate cortex, amongst other things.  Other areas of visual cortex are known as extrastriate visual cortex • the more important areas are V2, V3, V4 and MT (also known as .....V5!).
  • 27. Areas of Visual Cortex
  • 28. V1  In primates nearly all visual information enters the cortex via area V1. This area is located in the occipital lobe at the back of the brain. It is also known as: - primary visual cortex - area 17 - striate cortex.
  • 29.
  • 30. V1  This region represents about 5% of the neocortex in man.  It is the most complex region of the cortex with at least 6 identifiable layers • layer 1 is close to the cortical surface, layer 6 adjoins the white matter below
  • 31.
  • 32. V1
  • 33. Simple Cells  Simple cell receptive fields contain sub-regions that exert an excitatory influence on the cell's response (light grey in the picture), and sub- regions that exert an inhibitory influence (dark grey in the picture). The blue lines in the picture are time traces that plot the onset and offset of stimulation. The black vertical lines below them indicate individual nerve impulses. The most effective stimulus for this particular receptive field (left) is one that puts a lot of light in the excitatory region, and only a little in the inhibitory region.
  • 35. Simple Cells  It must have the right orientation, the right position, and the right size. Stimuli that are non-optimal in terms of position (middle left), or orientation (middle right), or size (right) are less effective. Simple cell receptive fields could be 'built' in the cortex by collecting responses from LGN cells whose receptive fields fall along a line across the retina, but the exact wiring is still the subject of debate.
  • 36. Complex Cells  Complex cells are the most numerous in V1 (perhaps making up three-quarters of the population). Like Simple cells, they respond only to appropriately oriented stimuli, but unlike Simple cells, they are not fussy about the position of the stimulus, as along as it falls somewhere inside the receptive field (left and middle- left examples above). Many complex cells are also direction-selective, in the sense that they respond only when the stimulus moves in one direction and not when it moves in the opposite direction
  • 38. Orientation Cells  Hubel and Wiesel were the first to discover that cells in V1 are arranged in a beautifully precise and orderly fashion.  Hubel and Wiesel found that as one advances deeper into the cortex through successive layers perpendicular to the surface, all cells that have orientation tuning prefer the same orientation.  On the other hand, moving across the surface of the cortex, orientation tuning mostly changes in an orderly fashion (as shown by the small lines in the picture).  Hubel and Wiesel used the term "orientation columns" to describe this arrangement, but they are really slabs rather than columns.