activity
20192026
most citedA Result of Metastability for an Infinite System of Spiking Neurons

14 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2026

The Pathwise Approach to Metastability and its Applications to Galves--Löcherbach Models

Morgan André, Kádmo Laxa

Metastability is the tendency of a system to dwell for a very long time near an apparently stable equilibrium before a rare fluctuation drives it, on a comparatively short time sca…

math.PR2026

Estimates on Escape Times for the Elephant Random Walk

Morgan André, Leonel Zuaznábar

We study the gambler's ruin problem for the Elephant Random Walk, focusing on escape time from a symmetric interval of the form . As our main result, we derive t…

math.PR2022★ 2 cited

Convergence of the Temporal Averages of a Metastable System of Spiking Neurons

Morgan André

We consider a stochastic system of spiking neurons which was previously proven to present a metastable behavior for a suitable choice of the parameter, in the sense that the time o…

math.PR2019★ 10 cited

The Effect of Graph Connecitivity on Metastability on a Stochastic System of Spiking Neurons

Morgan André, Léo Planche

We consider a continuous-time stochastic model of spiking neurons. In this model, we have a finite or countable number of neurons which are vertices in some graph where the edg…

math.PR2019★ 14 cited

A Result of Metastability for an Infinite System of Spiking Neurons

Morgan André

In 2018, Ferrari et al. wrote a paper called "Phase Transition for Infinite Systems of Spiking Neurons" in which they introduced a continuous time stochastic model of interacting n…