Interacting systems of infinite spiking neurons with weights beyond uniform summability

preprint2023arXivOpen access

Abstract

We consider an infinite system of spiking neurons with a drift and both excitatory and inhibitory connections. We study conditions for non-explosiveness and the uniqueness of the invariant measure. In particular, we examine conditions that allow this infinite interacting system to go beyond the usual interactions of uniformly summable weights. As a result, we extend the Galves-Löcherbach model beyond the restrictive uniform summability of the model.

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