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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Di Crescenzo, A., Di Nardo, E., & Ricciardi, L. M. (2005). Evaluation of neuronal firing densities via simulation of a jump-diffusion process. In Lecture Notes in Computer Science (Vol. 3561, pp. 166–175). Springer Verlag. https://doi.org/10.1007/11499220_18
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