Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4638474 | Journal of Computational and Applied Mathematics | 2015 | 13 Pages |
Abstract
Restricted Gauss–Markov processes are used to construct inhomogeneous leaky integrate-and-fire stochastic models for single neurons activity in the presence of a lower reflecting boundary and periodic input signals. The first-passage time problem through a time-dependent threshold is explicitly developed; numerical, simulation and asymptotic results for firing densities are provided.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
A. Buonocore, L. Caputo, A.G. Nobile, E. Pirozzi,