Midterm 2 Flashcards
name of the two visual streams
ventral - temporal
dorsal - parietal
for vision and interaction in the environment
how many ganglion cell types are there and what are their names
M ganglion
P ganglion
M ganglion cells
Magnocellular layers in LGN (layers 1 and 2 - inside)
fucntion movement and low light vision
high conversion of rods goes through M ganglion cells
P ganglion cells
Parvocellular layers in LGN (3, 4, 5 & 6 - outside) function colour, texture and depth
classic visual pathway in the brain
M ganglion - magno LGN - V1 –dorsal— paritel lobe
P ganglion - parvo LGN - V1 —-ventral— temporal lobe
how lesion / ablation studies work
animal trained to indicate perceptual ability
specific part of brain is ablated or removed
animal is retrained to determine which perceptual abilities remain
results reveal which portions of the brain are responsible for specific behaviours
classic ablation study for what and where pathways
-set up
animals trained on object discrimination task
-monkey shown an object
-then present with two choice task
-reward given for detecting target object
also trained on spaticial landmark discrimination problem
-monkey is trained to pick the food well next to a cylinder - so there is a spatital relationship and no object discrimination
then temporal and parietal lesions
classic ablation study
results
temporal lobe removed = problems in object discrimination task so what pathway
parietal lobe removed = problems in landmark discrimination task so where pathway
behaviour of patient DF and conclusions
damage to ventral pathway die to carbon monoxide posioning
could not tell orientation (perceptual orientation matching) of the slot but could actively post a letter into it (visuomotor posting)
ventral stream = what
dorsal stream = how
really prfound deficit - brain knows what it is at some level but cnanot do it
how did what where evolve
what and how
what is the inverse projection problem
an image on the retina can be caused by an infinite number of objects
fundamentally ambigious at the level of the retinal image - need to impose additional constraints
so no specific right way object recognition must work
what else makes object recognition tricky
huge variation - eg loads of pictures of dolphins, lots of inconsistencies but our brain still knows is a dolphin
what does gestalt mean
german word
configuration or pattern
according to gestalt perception…
is not built up from sensations but is a result of your brain imposing perceptual organization on incoming stimuli
gestalt principles are known as..
heuristics = best guess rules
6 gestalt organizing principles
good continuation proximity / similarity common fate common region uniform connetedness meaning
good continuation
continuous shapes viewed as single segmented obejcts
helps us perceive a pile of rope as one continous object and not all broken up
proximity / similarity
things that are bear to each other are grouped together
common fate
things moving in the same direction are grouped together
common region
elements in the same region tend to be grouped closer together
uniform connectedness
connected a region of visual properties are peceived as a single unit
meaning
interpret images in line with top-down knowledge
eg we see faces everywhere and in everything. us imposing top down knowledge on inanimate stuff
explain gestalt laws competring
leads to an ambigous percept
shows there isn’t a correct way to process images
brain just tries to apply the heuristics to disambiguate the info
charlie chaplin mask illusion
we have a lifetime experience seeing faces
never see them as concave - always projecting out
so we impose structure on the world
and so see both sides of the mask as pointing out
cannot see otherway round
top down imposition of knowledge by the brain on the bottom down world
Biederman recognition by components theory
simple computational model of object recognition
36 geons
each geon is uniquely identifiable from most viewpoints
objects can be identified if geons can be identified
evidence from Biederman
objects harder to recognise if geons are obscured, easy to recognise if can see geons
strengths of biederman
viewpoint invariance
represents 3D structure
weaknesses of biederman
complexity of representation
doesn’t easily represent subtle metric differences (ie distance between the eyes)
recognition is at the level of categories (chair vs table) rather than individuals (my chair vs office chair), also trump vs someone dressed up as trump
modern day version of recognition by componenets
deep neural networks
modern machine vision
architecture for performing object recognition
how deep neural networks work
series on interconnected layers of modelled neurons
node = neuron / pop of neuron
input
basic processing at ealry layers eg 100000000 instead of just geons, look a lot like primary visual cortex
as progress through the layers = more and more complex representations
even modern machine learning use same general basic approach
building blocks put together to descirbe objects in detail
note this is how AI works
meaningfulness or familiarity
things are more likely to form groups if the groups appear meaningful or similar
meaningfulness or familiarity experiment
how may toothbrushes in the image
if you show the image to a neural netowrk straight up 2, if shown to a person = 1 as second huge one only seen on inspection as our brain uses prior knowledge to constrain inputs coming in from the retina
neurons response in area IT
their responses are similar within each object accross viewpoints
so can recognise all dolphins
so respond to object irrespective of where it is in the visual field
population code and not a unit code
perceptual experience due to entrire distribution of activity is across the cortex and not one very loud neuron
converging inputs into IT
IT - inputs from whole bunch of areas, why neurons can be so selective in IT
IT an new objects
we have to be able to rapidly learn new infor but can’t have brain reconfiguring everytime it sees something new. so need stability and flexibility
flexible microwire - implanted in brain and moves with the brain - will follow the same neuron in the brain for months and months at a time
stability - brain processes monkey face the same
despite stability responses are flexible during learning = plasticity
series of novel objects presented to mokey = cell goes all over the place. as animal learns this activity becomes sterotyped and constant
period of plasticity before stable response turns up
what do we mean by modules in the ventral pathway
specialised chunks of cortex perform somewhat different perceptual functions
based off single cell recording in monkies = specific cells for faces
Nancy Kanswisher study
fMRI
face areas on left and right hemispheres and 2 for outdoor scenes
what brain area is for
faces
fusiform face area
what brain area is for
scenes/ landmarks
parahippocampal place area