Channel-based Langevin approach for the stochastic Hodgkin-Huxley neuron

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 87, Issue 1, 2013, Pages

  Huang, Yandong ^a   Rüdiger, Sten ^b   Shuai, Jianwei ^a  

^a XIAMEN UNIVERSITY   (China)

^b HUMBOLDT UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIALS; CHANNEL NOISE; CHANNEL STATE; HODGKIN-HUXLEY NEURON; ION-CHANNEL GATING; LANGEVIN; LANGEVIN METHOD; MARKOVIAN; MARKOVIAN DYNAMICS; NEURONAL DYNAMICS; NEURONAL MODEL; NUMERICAL IMPLEMENTATION; STOCHASTICITY; TIME STEP; TRUNCATION PROCEDURE;

DYNAMICS; ELECTROPHYSIOLOGY; GAUSSIAN NOISE (ELECTRONIC); NEURONS; RESTORATION;

MARKOV PROCESSES;

ION CHANNEL;

ACTION POTENTIAL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; CHANNEL GATING; COMPUTER SIMULATION; HUMAN; MEMBRANE POTENTIAL; NERVE CELL; PHYSIOLOGY; STATISTICAL MODEL; STATISTICS;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; HUMANS; ION CHANNEL GATING; ION CHANNELS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEURONS; STOCHASTIC PROCESSES;

EID: 84873862084     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.87.012716     Document Type: Article

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