Hydrodynamic limit for interacting neurons
Abstract
This paper studies the hydrodynamic limit of a stochastic process describing the time evolution of a system with N neurons with mean-field interactions produced both by chemical and by electrical synapses. This system can be informally described as follows. Each neuron spikes randomly following a point process with rate depending on its membrane potential. At its spiking time, the membrane potential of the spiking neuron is reset to the value 0 and, simultaneously, the membrane potentials of the other neurons are increased by an amount of potential 1/N . This mimics the effect of chemical synapses. Additionally, the effect of electrical synapses is represented by a deterministic drift of all the membrane potentials towards the average value of the system. We show that, as the system size N diverges, the distribution of membrane potentials becomes deterministic and is described by a limit density which obeys a non linear PDE which is a conservation law of hyperbolic type.
Cite
@article{arxiv.1401.4264,
title = {Hydrodynamic limit for interacting neurons},
author = {Anna De Masi and Antonio Galves and Eva Löcherbach and Errico Presutti},
journal= {arXiv preprint arXiv:1401.4264},
year = {2016}
}