Neural coding of uncertainty and probability

Wei Ji Ma, Mehrdad Jazayeri

Research output: Contribution to journalReview article

Abstract

Organisms must act in the face of sensory, motor, and reward uncertainty stemming from a pandemonium of stochasticity and missing information. In many tasks, organisms can make better decisions if they have at their disposal a representation of the uncertainty associated with task-relevant variables. We formalize this problem using Bayesian decision theory and review recent behavioral and neural evidence that the brain may use knowledge of uncertainty, confidence, and probability. ©

Original languageEnglish (US)
Pages (from-to)205-220
Number of pages16
JournalAnnual Review of Neuroscience
Volume37
DOIs
StatePublished - Jul 2014

Keywords

  • Bayesian inference
  • Decision making
  • Perception
  • Population encoding

ASJC Scopus subject areas

  • Neuroscience(all)

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