Discrete states of synaptic strength in a stochastic model of spike-timing-dependent plasticity

Neural Computation

Volumn 22, Issue 1, 2010, Pages 244-272

  Elliott, Terry ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN; COMPUTER SIMULATION; DENDRITIC SPINE; LONG TERM DEPRESSION; LONG TERM POTENTIATION; MATHEMATICAL PHENOMENA; NERVE CELL; NERVE CELL NETWORK; NERVE CELL PLASTICITY; PHYSIOLOGY; STATISTICS; SYNAPSE; SYNAPTIC TRANSMISSION; TIME;

ACTION POTENTIALS; BRAIN; COMPUTER SIMULATION; DENDRITIC SPINES; LONG-TERM POTENTIATION; LONG-TERM SYNAPTIC DEPRESSION; MATHEMATICAL CONCEPTS; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; STOCHASTIC PROCESSES; SYNAPSES; SYNAPTIC TRANSMISSION; TIME FACTORS;

EID: 77649251880     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.07-08-814     Document Type: Letter

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