Read this article for Friday Oct 21!

Trends in Neuroscience (2000) 23, 571 - 579

Hint #1: there are at least 3 ways of getting this articleHint #2: none of them are “wait till Matt sends it to me”

Visual Pathways

• Retina has distinct layers

Visual Pathways

• Retina has distinct layers• Amacrine and bipolar cells

perform “early” processing– Peripheral retina features

convergence of receptors onto ganglion cells

– Foveal retina features divergence

– Why!?

Visual Pathways

• Retina has distinct layers• Amacrine and bipolar cells

perform “early” processing– lateral inhibition at middle layer

leads to centre-surround receptive fields

– first step in shaping “tuning properties” of higher-level neurons

Visual Pathways

• Retina has distinct layers– Ganglion cells project mainly to

Lateral Geniculate Nucleus (LGN) of the thalamus

– two kinds of ganglion cells: Magnocellular and Parvocellular

• Magno is myelinated

• Parvo is not myelinated

• In what way does this matter?

– visual information is already being shunted through functionally distinct pathways

Visual Pathways

• visual hemifields project contralaterally– exception: bilateral

representation of fovea!

• Optic nerve splits at optic chiasm

• about 90 % of fibers project to cortex via LGN

• about 10 % project through superior colliculus and pulvinar– but that’s still a lot of fibers!

Note: this will be important when we talk about visuospatial attention

Visual Pathways

• Lateral Geniculate Nucleus maintains segregation:

– of M and P cells (mango and parvo)

– of left and right eyes

P cells project to layers 3 - 6

M cells project to layers 1 and 2

Visual Pathways

• Cortical regions vary in their anatomical connections and their functional specialization

• Number should be thought of very loosely as “consecutive” as in a processing hierarchy– But note that this view is

outdated as we’ll discover in reading the article by Lamme

Visual Pathways

• Primary visual cortex receives input from LGN

– also known as “striate” because it appears striped when labeled with some dyes

– also known as V1

– also known as Brodmann Area 17

Visual Pathways

W. W. Norton

• Primary cortex maintains distinct pathways – functional segregation

• M and P pathways synapse in different layers

• Ascending (i.e. feed-forward) projections synapse in middle layers

• Descending (i.e. feed-back) projections synapse in superfical and deep layers

Visual Pathways

• Visual scene is represented:– Retinotopically thus…

– spatiotopically

= Fovea

Tootell R B H et al. PNAS 1998;95:811-817

How does the visual system represent visual information?

How does the visual system represent features of scenes?

• Vision is analytical - the system breaks down the scene into distinct kinds of features and represents them in functionally segregated pathways

Visual Neuron Responses

• The notion of a receptive field is fundamental in vision science– A neuron’s receptive field is the

region in space in which a stimulus will evoke a response from that neuron

– Receptive field properties vary widely across visual neurons and are never just “ON” or “OFF”

– Unit recordings in LGN reveal a centre/surround receptive field

Visual Neuron Responses

• Unit recordings in LGN reveal a centre/surround receptive field

• many arrangements exist, but the “classical” RF has an excitatory centre and an inhibitory surround

• these receptive fields tend to be circular - they are not orientation specific

How could the outputs of such cells be transformed into a cell with orientation specificity?

Visual Neuron Responses

• LGN cells converge on “simple” cells in V1 imparting orientation (and location) specificity

Visual Neuron Responses

• LGN cells converge on “simple” cells in V1 imparting orientation (and location) specificity

• Again, information is physically seperated into a “map”

Visual Neuron Responses

• LGN cells converge on simple cells in V1 imparting orientation specificity

• Thus we begin to see how a simple representation – orientations of lines - can be maintained in the visual system– increase in spike rate of specific neurons indicates presence of a line

with a specific orientation at a specific location on the retina

– Reality is that spike rate probably is only one part of the story: information is coded in many ways e.g.

• Relative timing

• Graded potentials

The Role of “Extrastriate” Areas

• Different visual cortex regions contain cells with different tuning properties

The Role of “Extrastriate” Areas

• Consider two plausible models:

1. System is hierarchical:– each area performs some elaboration on the input it is given

and then passes on that elaboration as input to the next “higher” area

2. System is analytic and parallel:– different areas elaborate on different features of the input

The Role of “Extrastriate” Areas

• Functional imaging (PET) investigations of motion and colour selective visual cortical areas

• Zeki et al.

• Subtractive Logic– stimulus alternates between two scenes that differ only in

the feature of interest (i.e. colour, motion, etc.)

The Role of “Extrastriate” Areas

• Identifying colour sensitive regions

Subtract Voxel intensities during these scans… …from voxel

intensities during these scans

…etc.Time ->

The Role of “Extrastriate” Areas

• result– voxels are identified that are preferentially selective for

colour– these tend to cluster in anterior/inferior occipital lobe

The Role of “Extrastriate” Areas

• similar logic was used to find motion-selective areas

Subtract Voxel intensities during these scans… …from voxel

intensities during these scans

…etc.Time ->

MOVING STATIONARY MOVING STATIONARY

The Role of “Extrastriate” Areas

• result– voxels are identified that are preferentially selective for

motion

– these tend to cluster in superior/dorsal occipital lobe near TemporoParietal Junction

– Akin to Human V5

The Role of “Extrastriate” Areas

• Thus PET studies doubly-dissociate colour and motion sensitive regions

The Role of “Extrastriate” Areas

• V4 and V5 are doubly-dissociated in lesion literature:

The Role of “Extrastriate” Areas

• V4 and V5 are doubly-dissociated in lesion literature:

– achromatopsia (color blindness): • there are many forms of color blindness• cortical achromatopsia arises from lesions in the area of V4• singly dissociable from motion perception deficit - patients with

V4 lesions have other visual problems, but motion perception is substantially spared

The Role of “Extrastriate” Areas

• V4 and V5 are doubly-dissociated in lesion literature:

– akinetopsia (motion blindness): • bilateral lesions to area V5 (extremely rare)• severe impairment in judging direction and velocity of

motion - especially with fast-moving stimuli• visual world appeared to progress in still frames• similar effects occur when M-cell layers in LGN are

lesioned in monkeys

Visual Neuron Responses

• Edges are important because they are the boundaries between objects and the background or objects and other objects

Visual Neuron Responses

• This conceptualization of the visual system was “static” - it did not take into account the possibility that visual cells might change their response selectivity over time

– Logic went like this: if the cell is firing, its preferred line/edge must be present and…

– if the preferred line/edge is present, the cell must be firing

• We will encounter examples in which these don’t apply!

• Representing boundaries must be more complicated than simple edge detection!

Visual Neuron Responses

• Boundaries between objects can be defined by color rather than brightness

Visual Neuron Responses

• Boundaries between objects can be defined by texture

Visual Neuron Responses

• Boundaries between objects can be defined by motion and depth cues