Integrative Bayesian model on two opposite types of sensory adaptation

Yoshiyuki Sato, Kazuyuki Aihara

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Adaptation is a fundamental property of human perception. Recently, it was found that there are two opposite types of adaptation to repetitive stimuli with a temporal difference. In this article, we construct an integrative model of adaptation. We model the perception as a Bayesian inference, and represent the two types of adaptation as changes in the likelihood function and the prior distribution in the Bayesian inference. We examine our model analytically and show how the types of adaptation depend on model parameters.

Original languageEnglish
Pages (from-to)289-292
Number of pages4
JournalArtificial Life and Robotics
Volume14
Issue number2
DOIs
Publication statusPublished - 2009 Nov 1
Externally publishedYes

Keywords

  • Bayesian calibration
  • Bayesian inference
  • Lag adaptation
  • Ventriloquism aftereffect

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

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