Archivio Istituzionale della RicercaWe construct a LIF-type stochastic model for interspike times of the firing activity of a single neuron subject to a time-varying input signal. By using first passage time densities some numerical evaluations of ISI densities and comparisons with simulation results are given.
Towards stochastic modeling of neuronal interspike intervals including a time-varying input signal / D'Onofrio, G.; Pirozzi, E.; Magnasco, M. O. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : Springer Verlag, 2015. - ISBN 978-3-319-27339-6. - pp. 166-173 [10.1007/978-3-319-27340-2_22]
Towards stochastic modeling of neuronal interspike intervals including a time-varying input signal
D'Onofrio G.;
2015
Abstract
We construct a LIF-type stochastic model for interspike times of the firing activity of a single neuron subject to a time-varying input signal. By using first passage time densities some numerical evaluations of ISI densities and comparisons with simulation results are given.
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https://hdl.handle.net/11583/2982954