Modeling single neuron behavior using stochastic differential equations

Neurocomputing

Volumn 69, Issue 10-12, 2006, Pages 1091-1096

  Saarinen, Antti ^a   Linne, Marja Leena ^a   Yli Harja, Olli ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Brownian motion; Cerebellar granule cell; Compartmental model; Excitability; Stochastic differential equations

Indexed keywords

ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; DIFFERENCE EQUATIONS; MATHEMATICAL MODELS; RANDOM PROCESSES;

CEREBELLAR GRANULE CELL; NEURON BEHAVIOR; STOCHASTIC DIFFERENTIAL EQUATIONS; STOCHASTIC HODGKIN-HUXLEY TYPE; VOLTAGE-DEPENDENT ION CHANNELS;

NEURAL NETWORKS;

ION CHANNEL;

ARTICLE; BRAIN FUNCTION; CELL FUNCTION; CEREBELLUM; CONTROLLED STUDY; GRANULE CELL; MATHEMATICAL COMPUTING; NERVE CONDUCTION; PRIORITY JOURNAL; REPRODUCIBILITY; STOCHASTIC MODEL;

EID: 33748645762     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.12.052     Document Type: Article

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