Decision-theoretic models of visual perception and action

Vision Research

Volumn 50, Issue 23, 2010, Pages 2362-2374

  Maloney, Laurence T ^a   Zhang, Hang ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Action; Bayesian decision theory; Gain function; Ideal observer models; Likelihood; Loss function; Perception; Prior; Statistical decision theory

Indexed keywords

ACCURACY; BAYES THEOREM; DECISION THEORY; HUMAN; PRIORITY JOURNAL; PROCESS MODEL; REVIEW; STATISTICAL ANALYSIS; STATISTICAL DECISION THEORY; STATISTICAL MODEL; TASK PERFORMANCE; UNCERTAINTY; VISION; VISUAL ADAPTATION; VISUAL DISCRIMINATION; VISUAL INFORMATION; VISUOMOTOR COORDINATION;

BAYES THEOREM; DECISION THEORY; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; PSYCHOMOTOR PERFORMANCE; SIGNAL DETECTION, PSYCHOLOGICAL; VISUAL PERCEPTION;

EID: 78149402106     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2010.09.031     Document Type: Review

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