Concentration profiles in FitzHugh-Nagumo neural networks: A Hopf-Cole approach

Abstract

In this paper we focus on a spatially extended FitzHugh-Nagumo model with interactions. In the regime where strong and local interactions dominate, we quantify how the probability density of neurons concentrates into a Dirac distribution. Previous work investigating this question have provided relative bounds in integrability spaces. Using a Hopf-Cole framework, we derive precise L ∞ estimates using subtle explicit sub-and super-solutions which prove, with rates of convergence, that the blow up profile is Gaussian.