Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy

Journal of Neurophysiology

Volumn 92, Issue 2, 2004, Pages 959-976

  Jolivet, Renaud ^a   Lewis, Timothy J ^b   Gerstner, Wulfram ^a  

^a EPFL   (Switzerland)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; BIOPHYSICS; CELL ACTIVITY; CONDUCTANCE; GENERALIZED INTEGRATE AND FIRE MODEL; MATHEMATICAL COMPUTING; MEMBRANE POTENTIAL; NERVE CELL; NONHUMAN; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; QUANTITATIVE DIAGNOSIS; REPRODUCIBILITY; SPIKE;

ACTION POTENTIALS; ANIMALS; CEREBRAL CORTEX; DIFFERENTIAL THRESHOLD; ELECTRIC CONDUCTIVITY; ELECTRIC STIMULATION; HUMANS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS; PRESYNAPTIC TERMINALS; STOCHASTIC PROCESSES; TIME FACTORS;

EID: 3142666109     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.00190.2004     Document Type: Article

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