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Updated: May 5, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
Published on: June 21, 2022
On the return process with refractoriness for a non-homogeneous Ornstein-Uhlenbeck neuronal model
Virginia Giorno1, Serena Spina
1Dipartimento di Studi e Ricerche Aziendali (Management & Information Technology), Universita degli Studi di Salerno, Via Ponte don Melillo, I-84084 Fisciano (SA), Italy. giorno@unisa.it.
Abstract:
An Ornstein-Uhlenbeck diffusion process is considered as a model for the membrane potential activity of a single neuron. We assume that the neuron is subject to a sequence of inhibitory and excitatory post-synaptic potentials that occur with time-dependent rates. The resulting process is characterized by time-dependent drift. For this model, we construct the return process describing the membrane potential. It is a non homogeneous Ornstein-Uhlenbeck process with jumps on which the effect of random refractoriness is introduced. An asymptotic analysis of the process modeling the number of firings and the distribution of interspike intervals is performed under the assumption of exponential distribution for the firing time. Some numerical evaluations are performed to provide quantitative information on the role of the parameters.
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