Generalized Wilson-Cowan model with short term synaptic plasticity
Disordered Systems and Neural Networks
2025-11-21 v1 Statistical Mechanics
Adaptation and Self-Organizing Systems
Abstract
A generalized version of the Wilson-Cowan (WC) model is proposed which accounts for the evolution of the synaptic resources. Adiabatic elimination of the fast variables is performed to yield a simplified framework for the coupled interaction between active excitatory and inhibitory neurons. The latter model is shown to smoothly converge to the benchmark WC model, when the appropriate limit is performed. Different dynamical regimes are identified for the reduced model and commented upon with reference to the original formulation of the generalized dynamics. This includes identifying limit cycle oscillations for population of available resources.
Cite
@article{arxiv.2511.16252,
title = {Generalized Wilson-Cowan model with short term synaptic plasticity},
author = {Tommaso Trabocchi and Raffaella Burioni and Lucilla de Arcangelis and Duccio Fanelli},
journal= {arXiv preprint arXiv:2511.16252},
year = {2025}
}