Bayesian optimization of time perception.

Published

Journal Article (Review)

Precise timing is crucial to decision-making and behavioral control, yet subjective time can be easily distorted by various temporal contexts. Application of a Bayesian framework to various forms of contextual calibration reveals that, contrary to popular belief, contextual biases in timing help to optimize overall performance under noisy conditions. Here, we review recent progress in understanding these forms of temporal calibration, and integrate a Bayesian framework with information-processing models of timing. We show that the essential components of a Bayesian framework are closely related to the clock, memory, and decision stages used by these models, and that such an integrated framework offers a new perspective on distortions in timing and time perception that are otherwise difficult to explain.

Full Text

Duke Authors

Cited Authors

  • Shi, Z; Church, RM; Meck, WH

Published Date

  • November 2013

Published In

Volume / Issue

  • 17 / 11

Start / End Page

  • 556 - 564

PubMed ID

  • 24139486

Pubmed Central ID

  • 24139486

Electronic International Standard Serial Number (EISSN)

  • 1879-307X

International Standard Serial Number (ISSN)

  • 1364-6613

Digital Object Identifier (DOI)

  • 10.1016/j.tics.2013.09.009

Language

  • eng