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Individuals with autism may have flatter prior expectations, influencing perception. This study links autistic traits to prior variance, supporting the flatter-prior hypothesis in motion perception.

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Area of Science:

  • Cognitive Neuroscience
  • Computational Psychiatry
  • Neurodevelopmental Disorders

Background:

  • Bayesian models posit perception relies on integrating sensory evidence with prior knowledge.
  • Individual perceptual differences stem from variations in evidence sensitivity and prior expectations.
  • Autism is hypothesized to involve flatter prior distributions, linking prior variance to autistic traits.

Purpose of the Study:

  • To investigate the relationship between autistic traits and prior expectations in perception.
  • To test the flatter-prior hypothesis by examining motion perception phenomena.

Main Methods:

  • Studied perceived speed during pursuit eye movements and at low contrast.
  • Employed a quantitative Bayesian model to analyze individual differences.
  • Correlated motion perception variations with autistic traits and sensory thresholds.

Main Results:

  • Individual differences in motion perception were predicted by thresholds and autistic traits.
  • Findings support the flatter-prior hypothesis, suggesting systematic individual differences in prior expectations.
  • Sensitivity differences also play a role in revealing perceptual variations.

Conclusions:

  • Autistic traits are quantitatively linked to flatter prior expectations in a Bayesian framework.
  • Prior expectations show more systematic individual variation than previously recognized.
  • Future research should consider both sensitivity and prior expectations for a comprehensive understanding of perception.