A neurally plausible model of the dynamics of motion integration in smooth eye pursuit based on recursive Bayesian estimation

Biological Cybernetics

Volumn 100, Issue 3, 2009, Pages 185-201

  Dimova, Kameliya ^a   Denham, Michael ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Bayesian estimation; Motion integration; Smooth eye pursuit; Visual perception

Indexed keywords

CONTROL THEORY; DYNAMICS; INTEGRATION; MOTION ESTIMATION; PARAMETER ESTIMATION; PHYSIOLOGICAL MODELS; RECURSIVE FUNCTIONS; VISION;

BAYESIAN ESTIMATION; DYNAMIC BEHAVIOURS; DYNAMIC PROPERTIES; INTEGRATION PROCESS; KALMAN FILTER ALGORITHMS; MOTION INTEGRATION; PLAUSIBLE MODELS; PSYCHOPHYSICAL STUDIES; RECURSIVE BAYESIAN ESTIMATIONS; SMOOTH EYE PURSUIT; VISUAL CORTICAL; VISUAL PERCEPTION;

BAYESIAN NETWORKS;

ALGORITHM; ARTICLE; BAYES THEOREM; EYE MOVEMENT; HUMAN; THEORETICAL MODEL;

ALGORITHMS; BAYES THEOREM; EYE MOVEMENTS; HUMANS; MODELS, THEORETICAL;

EID: 62949241960     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-009-0291-z     Document Type: Article

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