how the cortex functions in vision
description
Transcript of how the cortex functions in vision
Cellular organisation and
biophysical properties of the
cerebral cortex
•! Cellular components of the cerebral cortex
•! How cells are organised in three dimensions
•! How cells are interconnected to form distinct circuits
•! Patterns of electrical activity
Different types of cortex
Neocortex (or isocortex):
•! Formed by 6 cellular layers
•! Marked expansion during mammalian evolution
•! Thicker and differentiated in many areas
“Older” cortices:
•! Less than 6 layers
•! Relatively conserved during evolution
Archicortex: hippoccampus
Paleocortex: pyriform cortex of the medial temporal lobe
Neocortical areas
Lateral view of the left hemisphere of the owl
monkey brain, showing the location of some
areas
“Unfolded” cortex, showing most of the
sensory and motor areas
5 mm
•! Each of the main
sensory modalities is represented by
several areas in the cortex.
•! Red= vision
•! Blue=hearing
•! Green= somatic
sensory
•! There are also
several motor areas
(purple).
•! The “blank” regions
are more remotely linked to sensory
processing or motor
control. They form the association cortex
Cortical cytoarchitecture
1
6
6
1
•! Although the 6-
layered scheme is present throughout
the neocortex, the lamination is slightly
different for each
area.
Preparation of monkey visual cortex,
stained by the method of Nissl. This
stain reveals the locations of cell
bodies (dark spots)
Magnified view
neurone
glia
Cortical neurones: pyramidal cells
Preparations stained by the Golgi method. Only a
few of the neurones in this field are revealed.
Apical dendrites
Cell body
Axon
Basal
dendrites
•! PYRAMIDAL CELLS are the main type of cortical excitatory neurone.
•! They are the only cells that project long axons to other brain areas. However,
most pyramidal cells project locally, forming intrinsic connections.
•! They have a long apical dendrite with multiple branches, which projects towards
the pia mater, as well as a complex basal dendritic tree.
•! The axons emerge towards the white matter.
Cortical neurones: stellate cells •! STELLATE CELLS lack apical dendrites. They
are further subdivided into:
•! SMOOTH STELLATE CELLS: They are
the cortical inhibitory interneurones.
•! Use GABA (!- aminobutyric acid) as
neurotransmitter.
•! Act by modulating the activity of
pyramidal cells.
•! Found in all cortical layers.
•! SPINY STELLATE CELLS: A class of
small cortical excitatory interneurones.
•! Found primarily in layer 4 of the
cortex. Also known as granular cells
(hence layer 4= granular layer)
•! Receive the bulk of the thalamic
afferents, and relay these inputs to pyramidal cells.
Interneurones= cells that only synapse with
other cells within the same area
A GABAergic cortical interneurone
Cortical neurones in layers
Spiny stellate cells: receive
the area’s main excitatory
inputs
Large pyramidal cells: long
extrinsic projections
Small pyramidal cells:
intrinsic projections and
short extrinsic projections
Smooth stellate cells (not
shown) are found spread
across all cortical layers.
“Vertical”
excitatory
interactions 1. Main excitatory inputs arrive
in the granular layer (layer 4).
2. This information is processed
and integrated in the supragranular layers (2 and 3).
3. The processed data are
relayed to other cortical areas.
4. These data are also relayed
to the infragranular layers (5
and 6), which then send feedback projections to “earlier”
areas or to the thalamus.
5. The feedback also modulates
the processing in the granular
and supragranular layers
Most excitatory interactions in the cortex
occur “vertically”, i.e., across the layers.
Preparation of monkey visual cortex (Gallyas method).
This stain reveals the locations of myelinated axons
(darker= more myelin). Note that the myelinated axons
tend to run across the layers
V1
V2 •! These interactions give
rise to functional
columns, running from
layer 1 to layer 6.
•! Every cell in a column shares some functional
properties.
Example:
•! All cells in a right eye
dominance column respond
more strongly to stimulation of
the right eye than to the left
eye.
•! However, cells in different
layers also have slightly
different characteristics (e.g.
monocularity in layer 4).
Summary
•! The cellular circuits that form the cortex are somewhat
stereotyped across areas.
•! The principal inputs that define an area’s function arrive in
layer 4, usually to small excitatory interneurones (granule
cells). This information is then processed by cascades of
neurones, including other layers.
•!The circuits feed back to “earlier” levels of processing at
all stages.
•! Many of the excitatory interactions are columnar.
Optical imaging
•! Cortex that is more active has different optical properties. It reflects light in a different way than
non-active cortex.
•! In optical imaging, the light reflected by the cortex is monitored while an animal sees different
visual patterns.
•! The spatial distribution of columns of cells that react to different stimulus parameters can then be
mapped with a video camera.
Optical imaging
Complete pattern of orientation columns in area V1 of the tree shrew. The
location of columns of cells sensitive to different orientations is coded by the
different colours.
Columnar organisation of V1 in primates •! Multiple stimulus
parameters are mapped
within V1, including ocular
dominance, boundary
orientation and colour.
•! Note that these columnar
systems are NOT mutually
exclusive. For example, a
cell which is in a column that
codes for vertical orientation
is ALSO in a given ocular
dominance column.
•! All the information needed
to analyse what is
happening in a point of the
visual field is contained
within a block of cortex less
than 1 mm wide (detached).
“blobs”(regions rich in
colour-sensitive cells)
Ocular
dominance
columns
Orientation
columns
Columns aggregate in spatially precise
patterns to form topographic maps
Stimulus on the computer
screen. The black and white
“checkers” indicate that the stimulus was blinking all the
time, in order to cause a more
effective activation of visual
cortex
Pattern of activation on the surface of V1. Because only
one eye was stimulated, the cortical “image” of the
stimulus has a striped appearance, due to the ocular dominance columns (darker= columns activated by the
stimulated eye).
One
“hypercolumn”
Summary
•! Columns of cells sensitive to a given parameter form
regular functional maps which repeat themselves in a
modular fashion.
•! “Global” topographic or cognitive maps are formed by the
aggregation of many modules, in ways that reflect the
area’s function.
Lateral connections between columns
•! In addition to the columnar interconnections, cortical cells form horizontal,
or intrinsic connections.
•! These connections are important to integrate information across different
parts of the same area (for example, in visual cortex, to integrate what is
happening in different parts of the visual scene)
Result of an experiment in which a tracer substance was injected into a single cortical layer (black
oval). In addition to columnar interconnections, the tracer revealed axons that project horizontally
within the same layer, and also form collateral branches in other layers (less extensively).
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2 & 3a
3b
3c
4"
4#
5
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250 !m
4-5 mm !
1-2 mm !
Lateral connections between columns
•! The synaptic sites of horizontal axons are highly specific. They may travel
several millimetres, ignoring several columns, and then form tightly clustered
terminal fields. This clustering is particularly clear in layer 3.
Schematic diagram of the
pattern of horizontal
connections of pyramidal cells in layer 3 from one cortical
column (darker blue) to other
columns (lighter blue).
Specificity of horizontal connections
•! In V1, long-range horizontal connections connect cells that are selective for
the same orientation, representing different parts of the visual field.
•! One possible function for this would be signalling the continuity of a
contour.
Results of two experiments
in which a tracer was
injected in a column sensitive to a particular
orientation (black and white
inserts). The terminal
clusters concentrate on
columns that are selective to the same or nearby
orientations.
Dynamic ensembles in the cortex
•! The extensive integration allowed by horizontal connections allows groups
of pyramidal cells to fire as synchronised ensembles.
•! In the visual system, this synchronised firing may be the neural signal to
indicate continuity of a contour or an object, and separate those from other
objects.
“Static” optical imaging map
of the columns sensitive to
vertical orientation, obtained by averaging many seconds
of stimulus presentation.
This square represents a
region of cortex about 2mm
by 2 mm. LIGHTER regions are the ones activated by the
vertical stimulus.
This movie was generated using the technique of spike-triggered optical imaging, in which the data
collection was synchronised to the occurrence of action potentials in a cell selective for vertical
orientation. It represents the activity from 200 msec prior to the action potential, to 200 msec after the action potential.
At the time of spike occurrence, the activity spreads to adjacent columns of cells selective to the
same orientation whether the spike was elicited by visual stimuli, or occurred spontaneously. Thus,
“ensembles” of concurrently active neurones are continuously being created as the scene
changes.
Synchronised firing and contour integration
•! Two neurones with overlapping receptive fields (1 and 2) were studied
simultaneously in the middle temporal area (a region of visual cortex which analyses direction of motion). The two cells were selective for different directions of motion
(arrows).
•! Synchronised firing was found only when a single object (black bar) was moved
across both receptive fields, in a direction intermediate between the “optimal” for each cell (A).
•! Stimulation with two bars, each “optimal” for one cell, disconnected the
“ensemble”- each cell was now part of a separate network, each representing one
object (B).
Time 0 Time 0
Summary
•! Cortical pyramidal cells, especially in the supragranular
layers, are integrated via horizontal axons.
•! The pattern of connections afforded by horizontal axons is
very precise.
•! Cells form dynamic ensembles in which they fire action
potentials synchronously.
•! In sensory areas, this synchronised firing may be the
neural correlate of the perception of an object as distinct
from other objects. In association areas- representation of
a thought, memory, emotion?