Neuronal firing is often viewed as a first passage time problem through a time dependend boundary for a diffusion process. In this paper we approach the study of features of the first passage time probability density function for the Wiener process and for a periodic boundary. This is expected to be of interest when neuronal models include oscillatory inputs or whenever the neuron's threshold oscillates as a consequence of internal or external periodic stimulations.
On some numerical and algorithmic problems in single neuron’s activity modelling / Buonocore, Aniello. - STAMPA. - (1988), pp. 367-374. (Intervento presentato al convegno Ninth European Meeting on Cybernetics and Systems Research tenutosi a Vienna nel April 5-8, 1988).
On some numerical and algorithmic problems in single neuron’s activity modelling
BUONOCORE, ANIELLO
1988
Abstract
Neuronal firing is often viewed as a first passage time problem through a time dependend boundary for a diffusion process. In this paper we approach the study of features of the first passage time probability density function for the Wiener process and for a periodic boundary. This is expected to be of interest when neuronal models include oscillatory inputs or whenever the neuron's threshold oscillates as a consequence of internal or external periodic stimulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
