How can a Bayesian approach inform neuroscience?

European Journal of Neuroscience

Volumn 35, Issue 7, 2012, Pages 1169-1179

  O'Reilly, Jill X ^a   Jbabdi, Saad ^a   Behrens, Timothy E J ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Attention; Bayes'; Functional magnetic resonance imaging; Illusion; Neural

Indexed keywords

ATTENTION; BAYES THEOREM; BAYESIAN LEARNING; BEHAVIOR; BRAIN FUNCTION; INFORMATION PROCESSING; LEARNING; MATHEMATICAL MODEL; NEUROSCIENCE; PERCEPTION; PRIORITY JOURNAL; REVIEW; UNCERTAINTY; VISUAL ILLUSION;

ANIMALS; BAYES THEOREM; HUMANS; LEARNING; MODELS, PSYCHOLOGICAL; NEUROSCIENCES; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE;

EID: 84859343955     PISSN: 0953816X     EISSN: 14609568     Source Type: Journal    
DOI: 10.1111/j.1460-9568.2012.08010.x     Document Type: Review

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