Spiking neuron model for temporal sequence recognition

Neural Computation

Volumn 22, Issue 1, 2010, Pages 61-93

  Byrnes, Sean ^a,b   Burkitt, Anthony N ^a,b   Grayden, David B ^a,b   Meffin, Hamish ^c  

^a BIONIC EAR INSTITUTE   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIAL; INHIBITORY POSTSYNAPTIC POTENTIAL; LANGUAGE; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; NERVE CELL; NERVE CELL INHIBITION; NERVE CELL NETWORK; NERVE TRACT; PHYSIOLOGY; REACTION TIME; SPEECH PERCEPTION; SYMBOLISM; SYNAPTIC TRANSMISSION; TIME; TIME PERCEPTION;

ACTION POTENTIALS; ALGORITHMS; BRAIN; COMPUTER SIMULATION; EXCITATORY POSTSYNAPTIC POTENTIALS; INHIBITORY POSTSYNAPTIC POTENTIALS; LANGUAGE; MATHEMATICAL COMPUTING; MATHEMATICAL CONCEPTS; NERVE NET; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONS; REACTION TIME; SPEECH PERCEPTION; SYMBOLISM; SYNAPTIC TRANSMISSION; TIME FACTORS; TIME PERCEPTION;

EID: 77649242849     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.12-07-679     Document Type: Letter

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