Statistical decision theory to relate neurons to behavior in the study of covert visual attention

Vision Research

Volumn 49, Issue 10, 2009, Pages 1097-1128

  Eckstein, Miguel P ^a   Peterson, Matthew F ^a   Pham, Binh T ^a   Droll, Jason A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Attention; Bayesian optimal observer; Cueing; Ideal observer; Limited resources; Neurons; Signal detection theory; Statistical decision theory; Tuning curves

Indexed keywords

ARTICLE; ASSOCIATION; ATTENTION; BAYES THEOREM; BEHAVIOR; HUMAN; NEUROPHYSIOLOGY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PSYCHOLOGICAL ASPECT; PSYCHOPHYSICS; RECEIVER OPERATING CHARACTERISTIC; SELECTIVE ATTENTION; SIGNAL DETECTION; STATISTICAL ANALYSIS; STATISTICAL MODEL; THEORETICAL MODEL; VISUAL DISCRIMINATION; VISUAL MEMORY;

ATTENTION; BAYES THEOREM; CUES; DECISION THEORY; HUMANS; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; NEURONS; PHOTIC STIMULATION; SIGNAL DETECTION, PSYCHOLOGICAL; VISUAL CORTEX;

EID: 67349183211     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2008.12.008     Document Type: Article

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