Organizing probabilistic models of perception

Research output: Contribution to journalReview article

Abstract

Probability has played a central role in models of perception for more than a century, but a look at probabilistic concepts in the literature raises many questions. Is being Bayesian the same as being optimal? Are recent Bayesian models fundamentally different from classic signal detection theory models? Do findings of near-optimal inference provide evidence that neurons compute with probability distributions? This review aims to disentangle these concepts and to classify empirical evidence accordingly.

Original languageEnglish (US)
Pages (from-to)511-518
Number of pages8
JournalTrends in Cognitive Sciences
Volume16
Issue number10
DOIs
StatePublished - Oct 2012

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience

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