First passage times of two-dimensional correlated diffusion processes with application to neural modelling
L Sacerdote - BOOK OF ABSTRACTS, 2016 - researchgate.net
A large literature concerns First Passage Time problems (FPT) for one dimensional diffusion
processes through constant or time dependent boundaries. Analytical, numerical as well as …
processes through constant or time dependent boundaries. Analytical, numerical as well as …
[PDF][PDF] First passage times of two-dimensional correlated diffusion processes: analytical and numerical methods
Given a two-dimensional correlated diffusion process, we determine the joint density of the
first passage times of the process to some constant boundaries. This quantity depends on …
first passage times of the process to some constant boundaries. This quantity depends on …
[HTML][HTML] First passage times of two-dimensional correlated processes: Analytical results for the Wiener process and a numerical method for diffusion processes
Given a two-dimensional correlated diffusion process, we determine the joint density of the
first passage times of the process to some constant boundaries. This quantity depends on …
first passage times of the process to some constant boundaries. This quantity depends on …
On time non-homogeneous Feller-type diffusion process in neuronal modeling
Time non-homogeneous Feller-type and Ornstein-Uhlenbeck diffusion processes are
considered for modeling the neuronal activity in the presence of time-varying input signals …
considered for modeling the neuronal activity in the presence of time-varying input signals …
[PDF][PDF] A first passage problem for a bivariate diffusion process: numerical solution with an application to neuroscience.
E Benedettoa, L Sacerdotea, C Zuccaa - arXiv preprint arXiv …, 2012 - academia.edu
We consider a bivariate diffusion process and we study the first passage time of one
component through a boundary. We prove that its probability density is the unique solution …
component through a boundary. We prove that its probability density is the unique solution …
[PDF][PDF] FIRST PASSAGE TIMES FOR BIVARIATE DIFFUSION PROCESSES
L Sacerdote, M Tamborrino, C Zucca - arXiv preprint arXiv …, 2012 - academia.edu
We determine the joint distribution of the exit times from a twodimensional strip of a bivariate
diffusion process. We consider two different situations; crossing or absorbing boundaries. In …
diffusion process. We consider two different situations; crossing or absorbing boundaries. In …
On neuronal firing modeling via specially confined diffusion processes
First passage time problems for diffusion processes have been extensively investigated to
model neuronal firing activity or extinction times in population dynamics (see, for instance …
model neuronal firing activity or extinction times in population dynamics (see, for instance …
Closed-form solutions for the first-passage-time problem and neuronal modeling
A Buonocore, L Caputo, G D'Onofrio, E Pirozzi - Ricerche di Matematica, 2015 - Springer
Abstract The Gauss–Diffusion processes are here considered and some relations between
their infinitesimal moments and mean and covariance functions are remarked. The …
their infinitesimal moments and mean and covariance functions are remarked. The …
Efficient numerical approximation of a non-regular Fokker–Planck equation associated with first-passage time distributions
In neuroscience, the distribution of a decision time is modelled by means of a one-
dimensional Fokker–Planck equation with time-dependent boundaries and space-time …
dimensional Fokker–Planck equation with time-dependent boundaries and space-time …
[HTML][HTML] A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss–Markov
E Benedetto, L Sacerdote, C Zucca - Journal of computational and applied …, 2013 - Elsevier
We consider a bivariate Gauss–Markov process and we study the first passage time of one
component through a constant boundary. We prove that its probability density function is the …
component through a constant boundary. We prove that its probability density function is the …