Neuron firing in driven nonlinear integrate-and-fire models

Mathematical Biosciences

Volumn 207, Issue 2, 2007, Pages 302-311

  Kostur, Marcin ^a   Schindler, Michael ^a   Talkner, Peter ^a   Hänggi, Peter ^a  

^a UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

Driven nonlinear neuron models; Interspike interval density; Refractory periods; Time dependent rates; Waiting time density

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURONS; STATISTICAL METHODS;

DRIVEN NONLINEAR NEURON MODELS; INTERSPIKE INTERVAL DENSITY; REFRACTORY PERIODS; TIME DEPENDENT RATES; WAITING TIME DENSITY;

NONLINEAR SYSTEMS;

COMPARATIVE STUDY; EXPERIMENTAL STUDY; NUMERICAL MODEL; REFRACTION; STATISTICAL ANALYSIS;

ARTICLE; HODGKIN HUXLEY EQUATION; MATHEMATICAL MODEL; NERVE CELL MEMBRANE POTENTIAL; NERVE CONDUCTION; NONLINEAR SYSTEM; PERCEPTIVE THRESHOLD; RELAXATION TIME; SIMULATION; SPIKE WAVE; TIME SERIES ANALYSIS;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; ELECTRIC CAPACITANCE; ELECTROPHYSIOLOGY; HUMANS; MARKOV CHAINS; MODELS, NEUROLOGICAL; NEURAL CONDUCTION; NEURONS; NONLINEAR DYNAMICS; REFRACTORY PERIOD, ELECTROPHYSIOLOGICAL;

EID: 34248589052     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2006.08.014     Document Type: Article

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