English

Control of synchronization patterns in neural-like Boolean networks

Adaptation and Self-Organizing Systems 2013-03-07 v2 Neurons and Cognition

Abstract

We study experimentally the synchronization patterns in time-delayed directed Boolean networks of excitable systems. We observe a transition in the network dynamics when the refractory time of the individual systems is adjusted. When the refractory time is on the same order-of-magnitude as the mean link time delays or the heterogeneities of the link time delays, cluster synchronization patterns change, or are suppressed entirely, respectively. We also show that these transitions occur when we only change the properties of a small number of nodes identified by their larger in-degree, hence the synchronization patterns can be controlled locally by these nodes. Our findings have implications for synchronization in biological neural networks.

Keywords

Cite

@article{arxiv.1211.0318,
  title  = {Control of synchronization patterns in neural-like Boolean networks},
  author = {David P. Rosin and Damien Rontani and Daniel J. Gauthier and Eckehard Schöll},
  journal= {arXiv preprint arXiv:1211.0318},
  year   = {2013}
}

Comments

Accepted in Phys. Rev. Lett

R2 v1 2026-06-21T22:31:51.964Z