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COGSCI 1B Final Test Questions with Correct Answers 100% Pass

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COGSCI 1B Final Test Questions with Correct Answers 100% Pass brain matter dedicated to vision - Answers 30-40% early models of visual perception - Answers -only used top-down analysis -big picture (upsidedown triangle) -no neural implementation (came later in the 1980's) 2 visual systems hypothesis (2 pathways) - Answers dorsal stream and ventral stream -experiments on monkeys where diff parts of brain were selectively removed dorsal stream - Answers regions in visual cortex involved in perception of spatial location -striate cortex to posterior parietal cortex -where pathway ventral stream - Answers regions in visual cortex involved in perception of form -striate cortex to inferior temporal corted -what pathway tri-level hypothesis of information processing - Answers -David Marr -3 levels Levels of tri-level hypothesis - Answers computational level: highest most abstract level. what does problem entail? what output do we want? purpose? algorithmic level: programming level, steps? procedure? implementation: lowest, where is hardware being used? physical realization? aim of visual processing - Answers object recognition Marr's model of visual processing - Answers - based on tri-level hypothesis - system has to take a complex pattern of unstructrued stimuli and interpret them into representations that will help object recognition Steps of Marr's model of visual processing - Answers 1. image projected onto retina analyzed in terms of light/dark, edges, and contours -- PRIMAL SKETCH OF IMAGE 2. features in raw primal sketch that are similar in size and orientation get grouped -- 2D sketch, viewer centered (problem is we need to establish object constancy) 3. 3D sketch -- symmetry axis, elongation axis: line that shows direction along which main bulk/mass of shape is distributed. OBJECT CENTERED and solves object constancy problem information in visual cortex is processed... - Answers heirarchically (like neural networks) -visual system is also similar to neural networks because it is retinotopically organized like convolutional layers in convolutional NN human visual process step-by-step - Answers input --> retina --> optic nerve --> optic chiasm --> superior colliculus of brianstem --> lateral geniculate nucleus of thalamus --> projects to area v1 in visual cortex --> maps to striate cortex Area V1 - Answers - retinotopically organized (neighboring regions of visual field are represented accordingly in V1) -neurons in V1 are sensitive to low levels of features (orientation and direction of movement) -edges and contours -simple cells that respond only to presence of line segments neurons in V1 - Answers feature detectors V1 projects to V2 - Answers -process same as V1 and more complex -compelx edges, shape, depth -extrastriate cortex: process movement, spatial frequency, color, retinal disparity Depth is determined by... - Answers Retinal disparity: points on object located at different distances from observer will fall on different locations of the 2 retinas (thumb moving) -closer object = larger disparity --> stereopsis or depth preception V2 to ventral pathway - Answers V2 --> V4 -inferior temporal cortex: facial recognition area (fusiform face area) -fusiform body areas V2 to dorsal pathway - Answers V2 --> MT --> posterior parietal cortex trichromatic (3 color) theory - Answers retina has 3 types of color receptors (cones) for red, blue, and green color blind - Answers lack of functioning red/green sensitive cones (see yellow and blue and red and green look yellowish to them) opponent process theory - Answers -opponent process cells

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COGSCI 1B Final Test Questions with Correct Answers 100% Pass

brain matter dedicated to vision - Answers 30-40%

early models of visual perception - Answers -only used top-down analysis

-big picture (upsidedown triangle)

-no neural implementation (came later in the 1980's)

2 visual systems hypothesis (2 pathways) - Answers dorsal stream and ventral stream

-experiments on monkeys where diff parts of brain were selectively removed

dorsal stream - Answers regions in visual cortex involved in perception of spatial location

-striate cortex to posterior parietal cortex

-where pathway

ventral stream - Answers regions in visual cortex involved in perception of form

-striate cortex to inferior temporal corted

-what pathway

tri-level hypothesis of information processing - Answers -David Marr

-3 levels

Levels of tri-level hypothesis - Answers computational level: highest most abstract level. what does
problem entail? what output do we want? purpose?

algorithmic level: programming level, steps? procedure?

implementation: lowest, where is hardware being used? physical realization?

aim of visual processing - Answers object recognition

Marr's model of visual processing - Answers - based on tri-level hypothesis

- system has to take a complex pattern of unstructrued stimuli and interpret them into representations
that will help object recognition

Steps of Marr's model of visual processing - Answers 1. image projected onto retina analyzed in terms of
light/dark, edges, and contours -- PRIMAL SKETCH OF IMAGE

2. features in raw primal sketch that are similar in size and orientation get grouped -- 2D sketch, viewer
centered (problem is we need to establish object constancy)

,3. 3D sketch -- symmetry axis, elongation axis: line that shows direction along which main bulk/mass of
shape is distributed. OBJECT CENTERED and solves object constancy problem

information in visual cortex is processed... - Answers heirarchically (like neural networks)

-visual system is also similar to neural networks because it is retinotopically organized like convolutional
layers in convolutional NN

human visual process step-by-step - Answers input --> retina --> optic nerve --> optic chiasm --> superior
colliculus of brianstem --> lateral geniculate nucleus of thalamus --> projects to area v1 in visual cortex --
> maps to striate cortex

Area V1 - Answers - retinotopically organized (neighboring regions of visual field are represented
accordingly in V1)

-neurons in V1 are sensitive to low levels of features (orientation and direction of movement)

-edges and contours

-simple cells that respond only to presence of line segments

neurons in V1 - Answers feature detectors

V1 projects to V2 - Answers -process same as V1 and more complex

-compelx edges, shape, depth

-extrastriate cortex: process movement, spatial frequency, color, retinal disparity

Depth is determined by... - Answers Retinal disparity: points on object located at different distances
from observer will fall on different locations of the 2 retinas (thumb moving)

-closer object = larger disparity

--> stereopsis or depth preception

V2 to ventral pathway - Answers V2 --> V4

-inferior temporal cortex: facial recognition area (fusiform face area)

-fusiform body areas

V2 to dorsal pathway - Answers V2 --> MT --> posterior parietal cortex

trichromatic (3 color) theory - Answers retina has 3 types of color receptors (cones) for red, blue, and
green

color blind - Answers lack of functioning red/green sensitive cones (see yellow and blue and red and
green look yellowish to them)

, opponent process theory - Answers -opponent process cells

-color sensitive receptor cells respond in an opposing center-surround manner to primary colors

-excited by light in the center, inhibited by light in the surroind

-green on red off, red on green off, yellow on blue off, blue on yellow off

blindsight - Answers blind in one or both visual fields but can guess identity or location of objects,
emotions of face in picture

-blindsight patient navigated cluttered hallway after being told that it was empty

explanation for blindsight - Answers instincts

- there is a second pathway for visual perception that doesn't go through the visual cortex instead it
does a short loop through the limbic system to the superior colliculus (emotional/instinctual parts of the
brain)

-faster response time but slows down cognitive reactions because other parts of the brain are not being
used

mental imagery - Answers represented either in analog code (pictures, visualizers, MOST SUPPORTED) or
propositional code (descriptive, verbalizers)

imagery and rotation studies - Answers rotate each object to the left and see if it matches with the one
on the right

-length of time to process --> depends on extent of rotation and quantity of information

-supports that we use pictorial form instead of description (unlike computers)

participants asked to focus on point of an image and then asked questions about other parts - Answers
length of time = longer based on distance from focal point

evidence supporting analog code - Answers -people make faster judgements about larger mental images

-longer to travel larger mental distance

-visual imagery may interfere with visual perception

-visual imagery activates 70-90% of same areas of brain as visual perception

evidence supporting propositional code - Answers -ambigious figures are hard to make a mental picture
of

-difficulty understanding that a part belongs to a whole if didn't include part in their original mental
description

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