Describe what happens bc v1 rfs are small
they may give misleading info on direction of movement = aperture problem
What happens as move up in visual processing
Rfs get larger and larger as move higher up In visual processing
=important bc neurons in v1 suffer from aperture problem but
Neurons in Mt do not = larger rfs, integrate rfs so no aperture problem
what is aperture problem
Neuron in v1 = Looking through small hole, sees very tiny patch of world
Ex = rectangle with repeating lines moves left to right but v1 sees motion downwards = cannot see what whole object doing
Ex = diamond, v1 neuron only sees edge moving upwards
So v1 neuron = gives inaccurate info about movement of object
do neurons in Mt suffer from aperture problem = why or why not
NOOO they don’t suffer from aperture problem
= integrate input from neurons with smaller rfs, so can detect overall direction of movement of an object
Can see = assembled together and detect direction of whole object
Larger rfs = important for understanding global features of objects/motion
what does dorsal stream contribute to
Multimodal sensory pathways from parietal cortex to pre motor cortex = that are involved in transforming perception into action
describe what happens in dorsal stream = parietal lobe
Parietal lobe = convergence area, higher order cortical somatic sensory area
= where vision, somatic sensory (and auditory) converge together
= info assemble and used to guide motion
Need to integrate somatic sensory and vision like for when grab things
So this integrative info then projects forward to higher order movement region and visual reads = use visual and somatic sensory info to guide movements
Parietal lobe and motor areas interact to use sensory info to guide movement
What is ventral stream involved in
Perception of colour vision, form and object recognition (detect and name)
V1–> ventral parts temporal lobe to end of temporal lobe
Ability to see world and assign names/objects = ventral stream and temporal lobe ventral parts
what is ffa
Fusiform face area
= in fusiform gyrus, ventral surface of brain
Temporal lobe
Larger on right side = lateralization
Studied a lot - humans and other primates = very important that they can recognize faces
what do neurons in ffa respond to
Respond preferentially to faces
what do neurons in ffa respond to = describe exp
record aps- face neurons in monkey cortex
For monkey face = fire lots, cartoon monkey face = fire but less vigorous - as remove facial features (—>circle)= none
:. Some ventral stream neurons respond specifically to faces
=neuron detects face, in front, on side, far, close, big rf, tuned specifically to faces = larger rf and more specific/specialzied
what is prosopagnosia and explain
Loss of ability to recognize familiar faces
- if stoke/neurodegeneration
- higher order damage, more selective, peculiar deficits
-vision ok = can see face and recognize facial features, but if show mother face = wont recognize as mom= cannot inter gate info - for familiar faces
what is brain organized into = clusters of neurons
Clusters of neurons in localized regions respond preferentially to different types of visual objects
Specific areas specialzied for diff things = face areas, hand areas, sensitive to living things, sensitive to inanimate obejcts
If damage areas for colour vision = cannot see or imagine colour, cannot create perception of colour, but can still see fine
what happens to rfs as go to progressively higher levels in visual hierarchy
Rfs get progressively larger at progressively higher levels in visual hierarchy
describe reciprocal connectivity in visual processing = gen
There are extensive short and long range reciprocal connectivity low and high levels in visual processing
describe reciprocal connectivity in visual processing = specifically what happening
<—> = at every level 2 way connections = goes both ways, reciprocal connections
True for almost all connections in visual pathway
Lots of feedback, higher —> Lower level
= have to build up visual perception from bottom up
But also have top down mechanisms which are important…
describe top down mechanism
Feedback connections may be involved in visual attention and in top down anticipatory mechanisms that enable us to differentiate an object from the background
Ex= blotches, see face, now blotches = face = top down control, = can organize what’s coming up, enabling anticipation fo what’s coming up = organize what is being fed forward
Can switch back and forth = have control and decide which to see = top down control = decide how sensory info organized
Define predictive processing
Theory of sensory perception
Model of sensory perception
what is happening in predict processing = specifically
Higher levels in sensory hierarchy feed perceptual expectations back to lower levels
This Feedback is compared with sensory input
Differences between feedback expectation and feed forward create a prediction error signal that is fed forward to update the predictive model at the next level in hierarchy
what is happening in predict processing = generally
Imagine if vision bottom up only = visual system would have to continuously recreate world over and over again = very inefficient
Instead= constructs visual perception and feeds it back to lower levels so then tells lower levels to only feed up images that change perception
Higher levels maintain stable perception of world
Feedforward from lower levels = what changes, if some movement or object or something
what is ex of predictive processing
Image with lines and dots that move around depending where you look
= stable perception of world- fills pattern in for you
Only when move eyes around = see other dots and has to reorganize pattern
Describe Medial parts temporal lobe - ventral stream
Medial parts temporal lobe = hippocampus
- learning and memory (ventral stream connected to this too)