central visual pathways Flashcards

1
Q

visual pathway from retina to cortex

A

retina –> thalamus (LGN) –> visual cortex

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2
Q

how does the brain get visual signals

A

the retina transmits

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3
Q

synaptic transduciton through retina

A

photoreceptors detect photons –> bipolar cells –> ganglion cells

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4
Q

what is the output neuron of the retina

A

ganglion cells

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5
Q

projections of the visual field onto retina

A

projects backwards and upside down

brain has to flip back

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6
Q

binocular field of view

A

left visual hemi-field is “seen” by right visual cortex

  • projection of binocular field of view relates to crossing of fibers in otptic chiasm
  • visual signals from each retina cross over
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7
Q

thalamus

A

inputs from 2 eyes are relayed to visual cortex via dorso-lateral geniculate nucleus

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8
Q

how are inoputs from 2 eyes segregated

A

cell specific manner in each layer of LGN in primates/humans
- maintains organization even at thalamus
(contra/nasal: 1,4,6 and ipsi/temporal: 2,3,5)

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9
Q

layers of thalamus

A

magnocellular: 1,2
parvocellular: 3,4,5,6
contralateral: 1.4.6
ipsilateral: 2,3,5

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10
Q

mouse LGN inputs

A

infected with AAV to back trace inputs to thalamus

- different types of neurons all tend to come from same visual area

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11
Q

optic radiations course to visual cortex

A

lateral geniculate nucleus –> meyers loop: superior and inferior retinal quadrants

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12
Q

retinotopic organization in right occipital lobe

A

top of visual cortex to inferior visual field (superior retina)
- no integration of both eyes in V1
overrepresentation of inputs from fovea- high density of photoreceptors

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13
Q

layer 4 of visual cortex (unsure)

A

magno, parvo and konicellular pathways remain seperated

in layer 4 of visual cortex

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14
Q

columnar organization of ocular dominance

A

as you move across cortex there are specific columns of neurons that respond only to left or right alternating
- inputs from l/r eye are still segregated in layer 4

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15
Q

primary visual cortex neurons

A

neurons in V1 respond only to oriented edges

  • have different orientation preferences
  • fire most at certain length and orientation
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16
Q

organization of V1: orderly progression of columnar response

A

IV: left ear/ right eye (ocular dominance columns)
blobs
orientation columns

17
Q

how are orientation units formed

A

LGN cells: linear alignment with overlapping receptive field responds best to bar extend over fields
summed output from LGN cells each with center surround organizations results in orientation selectivity
–> V1 cell

18
Q

outputs of striate cortex

A

1,2,3,4a: extrastriate cortex

5: superior colliculus
6: LGN
inputs: mostly layer 4

19
Q

extra striate cortical areas

A

IT: inferior temporal cortex
receives input through cascade, complicated visual info
MT: maintaining retinal stability

20
Q

what do neurons in higher visual areas respond best to

A

synthesize random images and record neuorn, see what neuron responds best to adn combine images and mutate and test again til you get evolving image to see if it iis better or not until you get best stimulus
- neurons can represent high order features

21
Q

neural network

A

algorithms that take inputs (image) and represent using fewer but higher order features of it by filtering image in diff ways and assignming weights to filters so you have fewer features but they are more imformative
- each layer gets more abstract