Spiking neural network for recognizing spatiotemporal sequences of spikes

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 69, Issue 2 1, 2004, Pages

  Jin, Dezhe Z ^a  

^a HOWARD HUGHES MEDICAL INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MEMBRANES; BRAIN; NATURAL LANGUAGE PROCESSING SYSTEMS; NEUROLOGY; PHYSIOLOGICAL MODELS; SENSORY PERCEPTION;

FEEDBACK INHIBITION; MEMBRANE POTENTIAL; NEURONS; SPATIOTEMPORAL SPIKES;

NEURAL NETWORKS;

ACTION POTENTIAL; ADAPTATION; ANIMAL; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER SIMULATION; EVALUATION STUDY; FEEDBACK SYSTEM; HUMAN; MEMBRANE POTENTIAL; NERVE CELL NETWORK; PHYSIOLOGY; SENSORY NERVE CELL; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ADAPTATION, PHYSIOLOGICAL; ANIMALS; COMPUTER SIMULATION; FEEDBACK; HUMANS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS, AFFERENT; PATTERN RECOGNITION, AUTOMATED; SYNAPTIC TRANSMISSION;

EID: 42749100608     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.69.021905     Document Type: Article

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