On the exit time from open sets of some semi-Markov processes
Abstract
In this paper we characterize the distribution of the first exit time from an arbitrary open set for a class of semi-Markov processes obtained as time-changed Markov processes. We estimate the asymptotic behaviour of the survival function (for large ) and of the distribution function (for small ) and we provide some conditions for absolute continuity. We have been inspired by a problem of neurophyshiology and our results are particularly usefull in this field, precisely for the so-called Leacky Integrate-and-Fire (LIF) models: the use of semi-Markov processes in these models appear to be realistic under several aspects, e.g., it makes the intertimes between spikes a r.v. with infinite expectation, which is a desiderable property. Hence, after the theoretical part, we provide a LIF model based on semi-Markov processes.
Keywords
Cite
@article{arxiv.1709.06333,
title = {On the exit time from open sets of some semi-Markov processes},
author = {Giacomo Ascione and Enrica Pirozzi and Bruno Toaldo},
journal= {arXiv preprint arXiv:1709.06333},
year = {2019}
}