Chaotic synchronization in adaptive networks of pulse-coupled oscillators
Disordered Systems and Neural Networks
2024-07-12 v1 Chaotic Dynamics
Neurons and Cognition
Abstract
Ensembles of phase-oscillators are known to exhibit a variety of collective regimes. Here, we show that a simple mean-field model involving two heterogenous populations of pulse-coupled oscillators, exhibits, in the strong-coupling limit, a robust irregular macroscopic dynamics. The resulting, strongly synchronized, regime is sustained by a homeostatic mechanism induced by the shape of the phase-response curve combined with adaptive coupling strength, included to account for energy dissipated by the pulse emission. The proposed setup mimicks a neural network composed of excitatory and inhibitory neurons.
Keywords
Cite
@article{arxiv.2407.08453,
title = {Chaotic synchronization in adaptive networks of pulse-coupled oscillators},
author = {German Mato and Antonio Politi and Alessandro Torcini},
journal= {arXiv preprint arXiv:2407.08453},
year = {2024}
}
Comments
4 pages, 3 figures; supplemental material 3 opages, 3 figures