Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network

Moises S. Santos, Paulo R. Protachevicz, Kelly C. Iarosz, Iberê L. Caldas, Ricardo L. Viana, Fernando S. Borges, Hai-Peng Ren, José D. Szezech, Antonio M. Batista, Celso Grebogi

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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 spike and burst activities. Furthermore, those desynchronized 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.
Original languageEnglish
Article number043106
Number of pages6
JournalChaos
Volume29
Issue number4
Early online date10 Apr 2019
DOIs
Publication statusPublished - Apr 2019

Keywords

  • POPULATIONS
  • PATTERNS
  • BUMPS

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Applied Mathematics
  • Statistical and Nonlinear Physics
  • Mathematical Physics

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    Santos, M. S., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Viana, R. L., Borges, F. S., Ren, H-P., Szezech, J. D., Batista, A. M., & Grebogi, C. (2019). Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network. Chaos, 29(4), [043106]. https://doi.org/10.1063/1.5087129