L5 - Perceptual organisation, gestalt psychology and face perception Flashcards

1
Q

What is low-level vision?

A
  • Extracts local information about lines, bars and edges
  • Our visual world consists of structured wholes and objects (meaningful)
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2
Q

What is mid-level vision?

A
  • Joins isolated features into larger groups
  • Forming the basis for object recognition in high-level vision
  • Takes info from V1 and makes them more meaningful units = hard as it is ambiguous about which pieces of info to group together
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3
Q

What are the visual streams for processing?

A
  • Ventral: what - object identification: the long parts of the brain
  • If you lesion what stream in animals - hard to distinguish objects but can place the objects e.g which object is closer to them (spatial relationships)
  • Dorsal: where: visuo-spatial information processing: very split up
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4
Q

Is there separation of the visual processing streams?

A
  • No strict separation
  • There is a tendency for the streams to perform how they do but they have complex connectivity between them
  • No strict anatomical or functional separation of what/where streams
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5
Q

Describe the ‘what’ stream?

A
  • Receptive field size increases from V1 to v4 (mid-level vision) = take more info from visual info and combine to create more meaningful info
  • Tuning complexity becomes higher = specific stimuli they respond to becomes more complex e.g neurons that specifically respond to faces
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6
Q

How does visual system overcome ambiguity?

A

Need to use prior knowledge/assumptions as constraining principles to rid ambiguity

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7
Q

What are gestalt principles of perceptual organisation?

A
  • Set of laws of perceptual organisation
  • Relationship between elements are critical for perception
  • Whole is greater/different than the sum of its parts
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8
Q

What is the principle of proximity?

A
  • How do you bind these circles that are identical e.g can see them in 5 different columns BUT if you have to group them by proximity, you can say they are in 5 different rows - how close are these elements
  • Pieces of info that are close together in space are bound together
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9
Q

What is the principle of similarity?

A
  • Pieces of info that are similar to each other are bound together e.g black and white rows
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10
Q

What is the principle of common fate?

A
  • Things that move together are bound together
  • As soon as this stops, it is almost impossible to see it
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11
Q

What is the principle of good continuation?

A
  • Visual system assumes that orientations have smooth contours, as most natural objects have smooth changes in orientation
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12
Q

What is Figure-ground assignment?

A
  • How do you know what is foreground/background and how do you separate this
  • Other principles of gestalt psychology
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13
Q

Gestalt principles of perceptual organisation now?

A
  • Important for perception research to move forward and to consider the role of relationships
  • BUT largely descriptive
  • Little to no experimental evidence
  • Recent work in visual neuroscience and psychophysics has established the why/how of some of these principles
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14
Q

Why is face perception important?

A
  • Faces are most important stimuli
  • Small changes in faces can tell you things about someone’s identity, gender, age, ethnicity (stable features)
  • Tells us about people’s characteristics that change very quickly e.g. facial expressions, gaze direction = guide our social interactions
  • Compared to other visual categories faces are processed very efficiently
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15
Q

What brain areas are dedicated to processing faces?

A
  • Superior temporal sulcus
  • Inferior occipital gyrus: sits on occipital lobe and dedicated to processing facial info
  • Lateral fusiform gyrus
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16
Q

Is face processing special?

A
  • Domain specificity: mechanisms operate independently of general object perception
  • Expertise: mechanism derive from general object perception but become finely tuned due to extensive experience = exposed to faces frequently
17
Q

What is holistic processing?

A
  • Representing features and their relationship as one unit, we don’t use this for other objects other than faces
    1) Part-whole effect: features are easier to identify when presented as part of a face
  • Have different eyes, nose and mouth and you can combine these features to construct a number of identities, and ask ppt to memorise identities, test how good they are at identifying the different features in isolation e.g just eyes, or in the context of a face = easier to process whole face than individual features, seen in other stimuli too
    2) Face inversion effect: inversion disrupts processing of fine details and relationship between features
  • Show ppts inverse or normal faces, ppts find it harder to identify individuals if you present them upside down, as neurons are only triggered if you see a face in the correct orientation = process the fine details and can combine but when upside down, you do not trigger holistic processing and cannot combine
  • Use general processing when faces are upside down, but facial processing when faces are right way up
  • People who were experts at facial expressions also show these effects but hardly any replication of these studies
18
Q

What is prosopagnosia?

A
  • Failure to identify or distinguish between faces, despite otherwise normal visual and cognitive ability
  • Special case of visual agnosia
  • Familiarity but no identification: develop weird delusions: Capgras syndrome - don’t feel familiar
  • Highlights modularity of some processes in visual perception
19
Q

What is norm-based code?

A
  • Facial features are represented as deviations from the average face (the norm)
  • Makes explicit what is distinctive about a face
  • Emphasises subtle variations that define individuals
  • Further the face is from the norm = easier to recognise them
  • If you change the norm, all faces must be different
20
Q

What are aftereffects in high-level vision? (Study)

A
  • With barrack example: when you stare at the picture = you change the norm
  • Neurons that code for facial features adapt to specific characteristics of adaptor face
  • Perception of subsequent face is biased away from adaptor characteristics
  • Code is based off the norm: e.g two populations of neurones, one responding to Bush and the other Obama, the middle point = mix of Bush and Obama(also known as norm), move in either direction of tuning = reduced sensitivity, so you think the norm is Obama if you adapt to Bush (as norm shifts to Obama)
  • Adaptation is like a re-calibration of the norm
  • When you adapt to bush, neurons reduce sensitivity
21
Q

What are consequences to norm-based code?

A
  • When you adapt to the norm, the two populations of neurones both decrease, not changing the norm