Nonlinear stability for a two-dimensional Fokker-Planck equation with partial diffusion in neuroscience

Read full text
Authors: Elena Ambrogi, Qingyou He, Delphine Salort
Cited by: 0

Abstract

Abstract The primary objective of this paper is to investigate the large-time asymptotic behaviour of a two-dimensional nonlinear Fokker–Planck equation, characterized by partial diffusion and pulse dynamics, arising in mathematical neuroscience. We prove that, within a weakly nonlinear regime, the solution to the evolution problem converges exponentially fast toward a unique stationary state. As a prerequisite for this stability analysis, we first prove the existence, uniqueness, and regularity of weak solutions to the corresponding stationary problem under weak connectivity. To address the analytical challenges introduced by the nonlinear terms in the long-term dynamics, our methodology combines the Doeblin–Harris framework for non-autonomous linear equations with perturbation theory. These theoretical findings are further supported by numerical simulations illustrating the convergence properties of the model.

Fields of Study & Subjects

stochastic dynamics and bifurcation Neural Networks Stability and Synchronization Neural dynamics and brain function

Publication details

Journal / source
Nonlinearity
Volume
39
Issue
3
Pages
035013–035013
Publication date
13 March 2026
Language
EN