Faces wk 10 Flashcards

(39 cards)

1
Q

what is pareidolia?

A

the L+R fusiform gyrus detects facial patterns in objects where there should be none

this suggests our systems are predisposed to seeing faces in different kinds of inputs.

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2
Q

what did johnson (1991) show about newborn babies?

A

newborn babies have preferences for cartoonish faces on a racket – innate predisposition/sensitivity with faces

maybe its the configuration?

retest = no sig difference between config and face, so config may be the root

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3
Q

what do infants lose by 9m?

A

infants lose the ability to discriminate monkey faces as well as human faces (pascalis, 2002)

shows face processing in infants undergoes similar progression to language-related processes.

innate sensitivity to facial processing

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4
Q

features vs configuration

A

features = identifiable parts of the face, e.g., eyes, nose, mouth

configuration = the arrangement of face features, e.g., spacing, symmetry, position within outline

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5
Q

what does holistic face processing involve?

A

integrating information from everything there is on a faces

instead of part based facial processing though lack of evidence

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6
Q

examples of holistic face processing

A

inversion and thatcher effect:
show face processing is interrupted by interfering with configurations , not seen with other objects e.g. cola

Diamond and Carey (1987) show correlation between inversion effects and image familiarity, e.g. dog experts better at identifying inverted faces , though still an impact

as we become experts at something, the configurable processing becomes more important for us

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7
Q

what is getting a likeness (person recognition) influences by

A

configuration

hindering the config processing impacts face processing, not seen in breaking up featural processing

+ the holistic account

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8
Q

what do single-cell recordings show about face processing?

A

show double dissociations between identity and emotion processing systems

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9
Q

identity after-effect

A

adapting to an identity over time reduces the firing rate of their neurons,

this means a 50-50 image will be perceived as the other identity via neural adaptation (looking at one of them for a prolonged time before the 50/50 picture)

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10
Q

identity cells

A

Specific group of cells in that brain that encodes specific identity , doesn’t care for other elements

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11
Q

Expression cells

A

group of single cells active when viewing the same expression, identity not influences

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12
Q

different brain areas involved in processing identity and emotion

A

narumoto (2001) found the intraparietal sulcus (IPS) and lateral fusiform gyrus (LFG) showed higher activity when viewing faces,

the superior temporal sulcus (STS) heightened for viewing emotion.

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13
Q

emotion after-effect

A

adapting to a happy face makes a neutral one look angry, and vice versa

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14
Q

types of face processing models

A

bruce and young (1986) - A psychological face processing model
haxby, hoffman, and gobbini (2000)- A model of the disrupted human nueral system for face perception

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15
Q

bruce and young (1986) suggest there are two main stages of face processing:

A
  1. structural encoding – deals with visual information, e.g., viewpoint and lighting
  2. extended processing – splits into two pathways:

a. expression analysis – facial expression, mood, emotion (changing)
b. face recognition – person identity nodes and name retrieval (fixed)

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16
Q

what does the psychological face processing model suggest

A

familiar and unfamiliar faces are processed differently

outdated model

17
Q

haxby, hoffman, and gobbini (2000) created a model for a distributed system of face perception:

A
  1. inferior occipital gyrus – early perception of facial features

a. lateral fusiform gyrus – processes fixed aspects of faces and unique identity
b. superior temporal sulcus – processes changeable aspects, e.g., gaze, expression

i. intraparietal sulcus – spatially directed attention
ii. auditory cortex – prelexical processing
iii. amygdala, insula, limbic system – emotion processing
iv. anterior temporal processes – personal identity and name

18
Q

What does the model for a distributed system of face perception suggest

A

links different processes into different areas of the brain

has a system dedicated to face processing but an extended system that isnt face specific, rather has an interaction effect with facial processing

19
Q

Brain imaging methods of face processing

A

ERP’s
fMRI
Single cell in monkeys
Lesion studies
Brain stimulation

20
Q

what is N170?

A

N170 is a strong negative ERP waveform, which is assumed to reflect structural encoding in facial images.

occurs around 170 miliseconds following presentation of face

21
Q

what did bentin (1996) show about N170?

A

ERP N170 is flexible for faces and differentiates faces from other visual input though doesnt care about changable aspects of a face

22
Q

what is FMRI used for?

A

to identify brain areas sensitive for particular categories.

23
Q

kanwisher (1997) subtracted activation for ‘scrambled faces’ and found:

A

LOC = sensitivity to objects
FFA = sensitive to unscrambled faces
PPA = activates for outdoor scenes

24
Q

what did serences (2004) concldue about FFA?

A

found increased activation in FFA when asked to identify faces vs. houses for PPA.

concluded our attention selection mediates brain activity in perceptual regions , telling these areas whether they should boost or reduce activation.

25
pticher (2009) and TMS
applied TMS to OFA and found this was critically related to face processing, forcing worse in face task when receiving inhibition right OFA is critical for part-based identification. OFA not just important for face processing but also processes the parts of a face rather than config
26
what is the repetition suppression effect?
(RS) = reduced brain activity following stimulus repetition
27
winston (2004) findings' about RS:
used RS across two conditions FFA and posterior STS codes identity and the anterior STS codes for emotion. double dissociation between identity and emotion face processing, processing in seprate networks of the brain
28
prosopagnosia
= failure to overtly recognise people, despite covert recognition (damage to ventral stream + FFA). can learn to based on movement or voice but not via picture
29
capgras syndrome
= feeling people are imposters, despite overt recognition (damage to dorsal stream+ STS).
30
how are different facial expressions read?
through the use of different face and eye muscles. different muscles are used for negative vs positive expressions patients with amygdala damage or autism spend more time fixating on the mouth than the eyes when reading facial expressions.
31
behrman (2006) atypical face processing
reduced performance in differentiating faces based on sex and individual identity for individuals with autism in both RT and slight accuracy
32
autism and inversion effect
there is no evidence of face inversion effect for autism. reduced holistic processing + brain activation for faces
33
what is there a correlation between in atypical face processing?
correlation between reduced face processing and more ASD behaviours/symptoms (scherf, 2015).
34
Autism and dicriminating between facial expressions (negative vs positive)
lower accuracy with negative emotions, perhaps because they fixate more on the mouth area making negaive emotions harder to interpret when simply asking if pictures were different they were as accurate with controls So poor accuracy within the autistic group may be due to interpretation of a facial expression rather than the ability of distinguishing between different inputs
35
what is face space theory?
valentine (2015) = faces are represented in a multidimensional space (MDS) where each feature has its axis. the brain uses representations to recognise faces, based on their deviation from the average face (which is in the centre of the dimension)
36
implications of face space theory
the ‘average face’ is used to determine attractiveness, which can influence social cohesion. faces further from the ‘average’ will experience better recognition as theyre less familiar .
37
what can influence face space?
exposure to diverse faces leads to a more elaborate MDS; less experience means smaller/simpler MDS.
38
other race and other age effects
= difficulty recognising faces of other races or ages ORE is reduced by experience, and OAE may depend on how intergenerational social groups are
39
Social media and face space
excessive viewing of social media changes your face space due to use of filters this makes real faces seem further away from the mean