Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network
Adaptation and Self-Organizing Systems
2019-04-19 v1 Biological Physics
Neurons and Cognition
Abstract
Chimera states are spatiotemporal patterns in which coherence and incoherence coexist. We observe the coexistence of synchronous (coherent) and desynchronous (incoherent) domains in a neuronal network. The network is composed of coupled adaptive exponential integrate-and-fire neurons that are connected by means of chemical synapses. In our neuronal network, the chimera states exhibit spatial structures both with spikes and bursts activities. Furthermore, those desynchronised domains not only have either spike or burst activity, but we show that the structures switch between spikes and bursts as the time evolves. Moreover, we verify the existence of multicluster chimera states.
Keywords
Cite
@article{arxiv.1904.08467,
title = {Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network},
author = {Moises S. Santos and Paulo R. Protachevicz and Kelly C. Iarosz and Iberê L. Caldas and Ricardo L. Viana and Fernando S. Borges and Hai-Peng Ren and José D. Szezech and Antonio M. Batista and Celso Grebogi},
journal= {arXiv preprint arXiv:1904.08467},
year = {2019}
}