A bayesian model of sensory adaptation.
Ontology highlight
ABSTRACT:
SUBMITTER: Sato Y
PROVIDER: S-EPMC3081833 | biostudies-literature | 2011
REPOSITORIES: biostudies-literature
Publications
Recent studies reported two opposite types of adaptation in temporal perception. Here, we propose a bayesian model of sensory adaptation that exhibits both types of adaptation. We regard adaptation as the adaptive updating of estimations of time-evolving variables, which determine the mean value of the likelihood function and that of the prior distribution in a bayesian model of temporal perception. On the basis of certain assumptions, we can analytically determine the mean behavior in our model ...[more]
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