Journal
ANNUAL REVIEW OF NEUROSCIENCE, VOL 37
Volume 37, Issue -, Pages 205-220Publisher
ANNUAL REVIEWS
DOI: 10.1146/annurev-neuro-071013-014017
Keywords
Bayesian inference; decision making; perception; population encoding
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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.
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