The parameters of the stochastic leaky integrate-and-fire neuronal model

Journal of Computational Neuroscience

Volumn 21, Issue 2, 2006, Pages 211-223

  Lansky, Petr ^a   Sanda, Pavel ^a   He, Jufang ^b  

^a INSTITUTE OF PHYSIOLOGY   (Czech Republic)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Leaky integrate and fire model; Ornstein Uhlenbeck neuronal model; Parameters estimation; Spontaneous firing

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; REGRESSION ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

INTER SPIKE INTERVALS; LEAKY INTEGRATE-AND-FIRE MODEL; MAXIMUM LIKELIHOOD METHODS; NEURONAL MODELING; ORNSTEIN-UHLENBECK; ORNSTEIN-UHLENBECK NEURONAL MODEL; PARAMETERS ESTIMATION; REGRESSION METHOD; SPONTANEOUS FIRING; TIME-CONSTANTS;

NEURONS;

ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUDITORY STIMULATION; DIRECT CURRENT; FREQUENCY ANALYSIS; GUINEA PIG; INTRACELLULAR RECORDING; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MEMBRANE DEPOLARIZATION; NERVE CELL MEMBRANE STEADY POTENTIAL; NERVE CELL NETWORK; NERVOUS SYSTEM ELECTROPHYSIOLOGY; NONHUMAN; POISSON DISTRIBUTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; REPRODUCIBILITY; STOCHASTIC MODEL;

EID: 33747272940     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-006-8527-6     Document Type: Article

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