Simulation of neural population dynamics with a refractory density approach and a conductance-based threshold neuron model

Neurocomputing

Volumn 70, Issue 1-3, 2006, Pages 252-262

  Chizhov, Anton V ^a   Graham, Lyle J ^a   Turbin, Andrey A ^b  

^a CNRS   (France)

^b PETER THE GREAT ST PETERSBURG POLYTECHNIC UNIVERSITY   (Russian Federation)

Author keywords

Hodgkin Huxley model; Neuron ensemble; Population model; Refractory density equation; Threshold model

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; PARTIAL DIFFERENTIAL EQUATIONS; PROBABILITY DENSITY FUNCTION;

CORTICAL NEURONS; GAUSSIAN DISTRIBUTION; HODGKIN-HUXLEY MODEL; NEURAL POPULATION DYNAMICS; NEURON ENSEMBLE; REFRACTORY DENSITY EQUATION;

NEURAL NETWORKS;

ARTICLE; BRAIN NERVE CELL; CELL POPULATION; CONTROLLED STUDY; DYNAMICS; HODGKIN HUXLEY EQUATION; MATHEMATICAL MODEL; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE CELL STIMULATION; NORMAL DISTRIBUTION; POTASSIUM CONDUCTANCE; PRIORITY JOURNAL; PROBABILITY; REFRACTORY PERIOD; SIMULATION; SODIUM CURRENT;

EID: 33750349900     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.02.004     Document Type: Article

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