PS231: Vision V (V1 & Higher Visual Cortices)

0.0(0)
studied byStudied by 0 people
0.0(0)
full-widthCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/15

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

16 Terms

1
New cards

V1 “simple cell” RF

bars of light with specific orientations coming from specific locations in the visual field (more complex “orientation selectivity”)

<p>bars of light with specific orientations coming from specific locations in the visual field (more complex “orientation selectivity”)</p>
2
New cards

V1 Neuron (“Simple Cell”) Receptive Field

Neurons in primary visual cortex respond to bars of light in specific orientations (known as orientation selectivity) coming from specific locations on the retina

<p>Neurons in primary visual cortex respond to bars of light in specific orientations (known as orientation selectivity) coming from specific locations on the retina</p>
3
New cards

Schematic of V1 Simple Cell Receptive Field

This V1 neuron receives input from a row of ON-center ganglion cells and so responds better to a bar of light than to any single spot of light

<p>This V1 neuron receives input from a row of ON-center ganglion cells and so responds better to a bar of light than to any single spot of light</p>
4
New cards

Individual V1 Neurons’ Representation of an Image

This simulation depicts what attributes of a visual image (greyhound and fence) are represented by responses of V1 neurons tuned to different preferred orientations

<p>This simulation depicts what attributes of a visual image (greyhound and fence) are represented by responses of V1 neurons tuned to different preferred orientations</p>
5
New cards

Retinotopy

  • There is a systematic, orderly mapping of orientation selectivity and receptive field position across V1

  • Within each column of V1, each neuron has similar response properties

  • Across columns, neurons exhibit an orderly progression of response properties

<ul><li><p>There is a systematic, orderly mapping of orientation selectivity and receptive field position across V1</p></li><li><p>Within each column of V1, each neuron has similar response properties </p></li><li><p>Across columns, neurons exhibit an orderly progression of response properties</p></li></ul><p></p>
6
New cards

Within a column

knowt flashcard image
7
New cards

Across a column

knowt flashcard image
8
New cards

Dorsal stream

(“where/how” pathway): Visual motion analysis and visual control of action

9
New cards

Ventral stream

(“what” pathway): Recognition of color and complex objects, including faces

10
New cards

V2

Responds to similar stimuli as V1 but also contours and important for visual memory

11
New cards

MT (V5)

Responds to linear movement, regardless of color, and visual control of action

12
New cards

V4

Responds to features of intermediate complexity (e.g. geometric shapes) and color

13
New cards

IT

Responds to complex objects, including faces! (e.g. Fusiform Face Area in IT)

14
New cards

Neurons in Inferotemporal Cortex (IT/FFA) of Macaque Monkeys Respond to Complex Objects, Including Faces

knowt flashcard image
15
New cards

Visual pareidolia

  • The tendency to see faces in inanimate objects, shadows, clouds, abstract patterns, etc.

  • There’s several theories as to why we’re good at this as a species, but the prevailing hypothesis is that it reflects our social evolution— human survival depends on others (whether we need their help or fear their violence); our brains are likely wired to quickly detect others

  • Studies in humans and other primates have shown, unsurprisingly, that the Fusiform Face Area (FFA) in Inferotemporal Cortex (IT) is involved in this phenomenon

16
New cards

As we move up the receptive field hierarchy

we encounter neurons that respond to increasingly complex features

<p>we encounter neurons that respond to increasingly complex features</p>