PSY2002 W6 Multisensory Integration 2 (L) Flashcards

1
Q

What are some benefits of normative models ?

A

Normative models can give us “optimal” solutions to problems.
A normative model applied to multisensory integration allows us to calculate the optimal way to integrate information

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2
Q

Is sensory information integrated optimally?

Sceintific evidence

A

Need to know uncertainty for optimal integration: Can be hard to estimate and Easier in sensory perception than cognitive reasoning.

Calculations can be intractable or take a long time: Heuristics are suboptimal, but fast and ‘Good enough’ solutions often satisfactory. e.g.: heuristics in reasoning (availability heuristic.

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3
Q

What is Sensory conflict?

A

Different senses might provide conflicting information about a sensory stimulus. This conflict needs to be resolved.

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4
Q

What is normative vs process models?

A

Example: Find shortest path between Endcliffe and Cathedral Court
Normative model: Compare length of ALL routes, pick shortest (A)

Process model: Choose between small number of salient options

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5
Q

What are examples of sensory conflicts?

A

Sitting in the train, train outside the window starts moving, “are we moving?” Proprioception: there is no movement. Yet we feel movement because visually movement would look the same.

Our perception of the sound changes depending on what we are reading – sensory conflict

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6
Q

What is the McGurk Effect?

A

person say dadada if you are look at the person you will hear dadada but when you are looking at the person you will hear vahvahvah.

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7
Q

What is sensory uncertainty due to?

A

Perceptual limits, e.g. visual resolution determined by spacing of photoreceptors in the fovea

Neural noise, e.g. synaptic noise

Cognitive resource limits, e.g. attention

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8
Q

How to test conflicts between vision and touch?

A

Task: Judge size of object by vision and touch.
Setup: Looks small (vision), Feels big (touch).
Vision dominates perceived object size: visual capture

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9
Q

Is there are strict sensory hierarchy?

A

No. Audition can dominate vision.

Experiment: Report number of visual flashes
Setup: Auditory beeps (1-4) played during flashes, participants were told to ignore the beeps and only count the flashes.

Results: Number of auditory beeps determines reported number of visual flashes

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10
Q

What is modality precision hypothesis?

A

Modality with highest precision (lowest uncertainty) chosen depending on task:

Spatial task → Vision
Temporal task → Audition

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11
Q

What if precision of sensory modality changes? - task/method

Ernst & Banks 2002

A

Task: Judge heigh of bar
Setup: discrepancy between vsiual and haptic inputs, cna change visual and tactile uncertainty independently.
Vision: virtual reality setup: change height of bar, modify uncertainty by adding visual noise.
Haptics: force feedback device, change height of bar.
Vision and haptic input can be in conflict!
Method: present vritual bar with sensory conflict (haptic=/=visual) compare against bar without. determine point of subjective equivalence. Manipulate sensory uncertainty of visual feedback

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12
Q

What if precision of sensory modality changes? - results

Ernst & Banks 2002

A

No added visual noise: Perception of bar height biased towards visual input

Increased visual noise: Perception of bar height now determined by both visual and haptic inputs.

High visual noise: Perception of bar height now determined by haptic inputs

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13
Q

What is a normative model?

A

how a problem should be solved (‘optimal’ solution). Based on theory. Can establish bounds (“this is the best we could possibly do”)

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14
Q

What is a process model?

A

how a problem is actually solved, based on data.

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15
Q

What is the question and answer of a normatic model?

A

Q: How should we solve the problem of sensory integration?
A: Pick integration method that minimizes sensory uncertainty

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16
Q

Explain the Haptic => Integrated signal & Vision => Integrated signal

A

Haptic [haptic uncertainty]
Vision[visual uncertainty]

=> Integrated signal [smallest possible combined uncerainty]

17
Q

What are the different integrating probabilities?

A
  1. High variance wide distribution high sensory uncertainty
  2. Narrow distribution, low variance with low sensory uncertainty
  3. Sensory conflict
  4. Combined estimate has lower uncertainty (smaller variance than either estimate alone.
  5. High uncertainty (haptic noise is high) Low uncertainty (visual feedback – narrow distribution) – sensory conflict
  6. Combined estimate is biased towards the visual estimate as this has lower uncertainty than the haptic estimate.
18
Q

What rules does human perfomance follow?

A

Optimal sensory integration rules. Humans act in accordance with this model and therefore integrate sensory information optimally.

19
Q

Are probabilities encoded in the brain?

A

Uncertainty needs to be represented in some way: confidence signal? Representation of full probability distribution?

Little direct electrophysiological evidence, but several plausible shemes proposed:
Mean + Variance -|-
Full distribution |||
Samples ..::.: .

20
Q

What is a correspondence problem?

A

External space [vision(dog) = audition(dog)] (One or 2 dogs)

External space [vision(dog)=/=audition(cat)] one dog and a cat or a dog who sounds like a cat?

21
Q

What does a normative model predict?

A

A normative model predicts the optimal solution for the sensory integration problem

22
Q

What model does humans act in accordance with?

A

Normative model

Take sensory uncertainty into account when integrating information
Minimize overall sensory uncertainty