lecture six: cognition of visual perception Flashcards

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1
Q

why dont trees have a neural nervous system?

A

It doesnt move, therefore no need to know what is where.

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2
Q

what is the inverse projection problem?

A

A given 3D object can create only one image on a 2D surface

A 2D image can be created by an infinite number of 3D objects

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3
Q

does transsaccadic integration exist?

A

Result: change blindness. No transsaccadic integration

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4
Q

unconscious inference

A

Inferences are automatic and unconscious Helmholtz (1860)

Our percept is the most likely solution of the perceptual “problem” posed by the world Helmholtz: likelihood principle

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5
Q

What is Luminance constancy

?

A

The visual system takes shadow into account  chessboard with alternating black and white squares.

samecolor seems to be different, because of shadow perception

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6
Q

Gestalt approach

A
The whole (Gestalt) is more than the sum of its parts
Max Wertheimer’s (early 20th century) critique on the structuralist view (e.g., Wundt)
Gestalt laws (principles / rules):
      - simplest solution
      - symmetry
      - similarity
      - proximity
      - good continuation
      - closure
      - common fate
      - familiarity (past experience)
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7
Q

Top down:

A

expectancies, knowledge of the world

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8
Q

Bottom-up:

A

Incoming data from the outside world

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9
Q

Bayesian approach

A

Prior: your initial beliefs about the world (expectancies)
Likelihood: bottom-up evidence
 Posterior: update of your initial beliefs given the evidence

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10
Q

echolocation

A

Echolocation experts make use of visual projection areas in the cortex (occipital lobe
Like vision, echolocation allows experts to determine what is where

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11
Q

Familiarity

A

Once we have seen the “solution”, the stimulus acquires a fixed interpretation.

The interpretation is driven by what we know: familiarity

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12
Q

Common fate

A

We group the elements with a common fate: same direction of movement.

We can also disambiguate by moving ourselves  some elements do not have common fate.

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13
Q

Closure

A

We tend to complete incomplete figures when contours are partially missing

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14
Q

Good continuation

A

How do you perceive the strings in Figure A?

Probably as in B rather than C: good continuation

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15
Q

Simplicity

A

The perceptual system choses the simplest (least coincidental) solution (most likely)

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16
Q

Predictive coding

A

Extension of the Bayesian approach:
The brain generates predictions all the time (top down)
Bottom-up information is compared to predicted information
No discrepancy? The brain does not respond.
Discrepancy?  Prediction error  Update beliefs

17
Q

Brain plasticity

A

The human brain has been shaped over millions of years of evolution, but it is shaped during its life time

Examples of Experience-dependent plasticity
Daniel Kish learned to use his occipital lobe for echolocation
Kittens raised in an artificial world with only vertical black and white stripes ignore horizontal objects later on (Blakemore & Cooper, 1970)
Normal knowledge acquisition enables us to make predictions and update beliefs