We consider a stochastic neuronal model in which the time evolution of the membrane potential is described by a Wiener process perturbed by random jumps driven by a counting process. We consider the first-crossing-time problem through a constant boundary for such a process, in order to describe the firing activity of the model neuron. We build up a new simulation procedure for the construction of firing densities estimates.
Titolo: | Evaluation of neuronal firing densities via simulation of a jump-diffusion process | |
Autori: | ||
Data di pubblicazione: | 2005 | |
Serie: | ||
Abstract: | We consider a stochastic neuronal model in which the time evolution of the membrane potential is described by a Wiener process perturbed by random jumps driven by a counting process. We consider the first-crossing-time problem through a constant boundary for such a process, in order to describe the firing activity of the model neuron. We build up a new simulation procedure for the construction of firing densities estimates. | |
Handle: | http://hdl.handle.net/11386/1058959 | |
ISBN: | 9783540262985 | |
Appare nelle tipologie: | 2.1.2 Articolo su libro con ISBN |
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