Visual detection under uncertainty operates via an early static, not late dynamic, non-linearity

Frontiers in Computational Neuroscience

Volumn 4, Issue , 2010, Pages

  Neri, Peter ^a  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

Non linear kernel; Reverse correlation; Visual psychophysics; Volterra expansion

Indexed keywords

GOLD STANDARDS; HUMAN VISION; MULTIPLE INPUTS; NEURAL HARDWARE; NON-LINEAR KERNEL; REALISTIC LIMITATION; SENSORY PROCESSING; STATIC NON-LINEARITY; VISUAL DETECTION; VISUAL PSYCHOPHYSICS; VISUAL SYSTEMS; VISUAL-PROCESSING; VOLTERRA EXPANSION; DYNAMIC NON LINEARITIES; REVERSE CORRELATIONS;

OBSERVABILITY; TEMPLATE MATCHING;

SIGNAL DETECTION;

ARTICLE; HUMAN; INTERNAL CONSISTENCY; KERNEL METHOD; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; NONLINEAR SYSTEM; PREDICTION; PROBABILITY; PROCESS DEVELOPMENT; SIGNAL DETECTION; SIGNAL NOISE RATIO; STIMULUS RESPONSE; TASK PERFORMANCE; UNCERTAINTY; VISUAL STIMULATION; VISUAL THRESHOLD;

EID: 78650700380     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2010.00151     Document Type: Article

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