spatial vision Flashcards
do the 6 different layers in V1 contain different types of neurons?
YES
some layers in V1 are ___ layers and some are ___?
input and output
neighbour relationships in retina are retained in the … ?
cortical map
all neurons stacked on top of each other in V1 respond to the ___ - but react to ___ ?
- same orientation
- different sizes
neurons change orientations by ___ as you move through V1?
10 degrees
do binocular neurons have a preference for right or left eye?
YES even though they receive from both
what are ocular dominance bands?
eyes that respond to left organised together and vice versa for right
what is a hyper column in the V1?
- collection of neurons that all have receptive fields that cover the dame parts of visual space - within that, they respond to different orientations
neurons within one orientation column (stacked on top of each other) might respond to different sizes e.g., fatter or thinner bars of light?
TRUE
what can be changed about sinewaves?
- change orientation (can study orientation tuning)
- change spatial frequency (size of stimuli)
- change contrast
- change phase - where does the cycle start e.g., at black or white?
- luminance changes as you move from left to right of the sinewave (the amount of light)
what are sinewaves?
- dark and light bars
- no hard edge between the bars
how can we specify spaial frequency?
seeing how many cycles fit into one degree
what does the visual angle tell us?
- the visual angle tells us the size of the retinal image (given a certain object size at a certain distance)
- doesn’t matter the size of object in the environment as we don’t have access to that, we only have access to what is projected onto our retina at the back of eye (retinal image)
what is the Fourier analysis?
- every image can be broken down into sinewave components – Fourier analysis
- the visual system conducts the equivalent of a local Fourier analysis
- can use FA to deconstruct images and make them into sinewaves
hyper columns and Fourier analysis?
- hyper columns contain neurons tuned to different orientations and spatial frequencies
- all of these neurons analyse the same patch of visual space
- together, they extract spatial frequency components and orientation components contained in ‘their’ local patch – they conduct a local Fourier analysis