Quasistatic approximation of the interspike interval distribution of neurons driven by time-dependent inputs

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

Volumn 80, Issue 1, 2009, Pages

  Urdapilleta, Eugenio ^a   Samengo, Inés ^a  

^a CENTRO ATÓMICO BARILOCHE   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED-FORM EXPRESSION; EXPLICIT SOLUTIONS; FIRST PASSAGE TIME PROBLEM; INPUT CURRENT; INTEGRATE-AND-FIRE MODEL; INTEGRATE-AND-FIRE NEURONS; INTERSPIKE INTERVAL DISTRIBUTIONS; NEURAL RESPONSE; NONAUTONOMOUS; NUMERICAL SIMULATION; QUASI-STATIC; QUASISTATIC APPROXIMATIONS; QUASISTATIC LIMIT; SENSORY NEURONS; STATISTICAL PROPERTIES; STOCHASTIC DIFFERENTIAL EQUATIONS; THEORETICAL STUDY; TIME-DEPENDENT; TIME-DEPENDENT CURRENTS; TIME-DEPENDENT SIGNALS;

COMPUTER SIMULATION LANGUAGES; DIFFERENTIAL EQUATIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

NEURONS;

EID: 68949117577     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.80.011915     Document Type: Article

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