Population density methods for stochastic neurons with realistic synaptic kinetics: Firing rate dynamics and fast computational methods

Network: Computation in Neural Systems

Volumn 17, Issue 4, 2006, Pages 373-418

  Apfaltrer, Felix ^a,b   Ly, Cheng ^a   Tranchina, Daniel ^a,c  

^a NEW YORK UNIVERSITY   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

^c NONE   (United States)

Author keywords

Network models

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; MATHEMATICAL COMPUTING; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; STATISTICS; SYNAPSE; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ANIMALS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; STOCHASTIC PROCESSES; SYNAPSES; SYNAPTIC TRANSMISSION;

EID: 33845394008     PISSN: 0954898X     EISSN: 13616536     Source Type: Journal    
DOI: 10.1080/09548980601069787     Document Type: Article

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