Recognition by variance: Learning rules for spatiotemporal patterns

Neural Computation

Volumn 18, Issue 10, 2006, Pages 2343-2358

  Barak, Omri ^a   Tsodyks, Misha ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPARATIVE STUDY; HUMAN; LEARNING; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; RECOGNITION; SYNAPTIC TRANSMISSION; TIME;

ACTION POTENTIALS; ANIMALS; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; RECOGNITION (PSYCHOLOGY); SYNAPTIC TRANSMISSION; TIME FACTORS;

DETERIORATION;

AUDITORY PROCESSING; INPUT CURRENT; INPUT PATTERNS; LEARNED PATTERNS; LEARNING RULES; SPATIOTEMPORAL PATTERNS; SYNAPTIC MEMBRANES; SYNAPTIC TRANSMISSION; TIME-CONSTANTS; TIME-SCALES;

NEURONS;

EID: 33749445809     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2006.18.10.2343     Document Type: Article

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