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Perceptual-moment theories.

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This summary is machine-generated.

The autonomous-moments theory struggles to explain temporal perception, even with neural noise considered. New models show triggered-moments and moving-moment theories better fit simultaneity and temporal-order judgments.

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Area of Science:

  • Psychology
  • Neuroscience
  • Psychophysics

Background:

  • Perceptual-moment theories propose events are perceived in discrete moments.
  • Three main theories exist: autonomous-moments, triggered-moments, and moving-moment.
  • Previous models overlooked neural noise, limiting their accuracy.

Purpose of the Study:

  • To present generalized perceptual-moment models accounting for neural noise.
  • To test the explanatory power of different perceptual-moment theories.

Main Methods:

  • Developed generalized models for autonomous, triggered, and moving moments.
  • Incorporated latency noise and moment-duration noise.
  • Simulated data and fitted 18 models to simultaneity and temporal-order judgment data.

Main Results:

  • Autonomous-moments models failed to explain central plateaus in judgment data.
  • Triggered-moments and moving-moment models provided better fits than autonomous-moments.
  • Model performance was consistent across tasks and noise assumptions.

Conclusions:

  • The classic autonomous-moments theory is insufficient for explaining temporal judgments.
  • Generalized models incorporating neural noise offer a more robust framework.
  • Triggered-moments and moving-moment theories show greater promise in explaining temporal perception.