A finite volume method for stochastic integrate-and-fire models

Journal of Computational Neuroscience

Volumn 26, Issue 3, 2009, Pages 445-457

  Marpeau, Fabien ^a   Barua, Aditya ^a   Josié, Krešiimir ^a  

^a University of Houston   (United States)

Author keywords

Numerical methods; Stochastic integrate and fire model

Indexed keywords

FINITE VOLUME METHOD; FOKKER PLANCK EQUATION; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

DISCRETIZATIONS; FINITE-VOLUME METHOD; FOKKER-PLANCK-EQUATION; INTEGRATE-AND-FIRE MODEL; INTEGRATE-AND-FIRE NEURONS; OPERATOR-SPLITTING; STOCHASTIC INTEGRATE AND FIRE MODEL; STOCHASTIC-MODELING; STOCHASTICS; TIME DEPENDENT;

NUMERICAL METHODS;

ACCURACY; ARTICLE; CONTROLLED STUDY; DIFFUSION COEFFICIENT; FINITE ELEMENT ANALYSIS; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; NERVE CELL MEMBRANE POTENTIAL; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; REFRACTORY PERIOD; SIGNAL PROCESSING; STATISTICAL ANALYSIS; STOCHASTIC MODEL;

EID: 65049084636     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-008-0121-7     Document Type: Article

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