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

doi:10.1063/1.5087129

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 language	English
Article number	043106
Number of pages	6
Journal	Chaos
Volume	29
Issue number	4
Early online date	10 Apr 2019
DOIs	https://doi.org/10.1063/1.5087129
Publication status	Published - Apr 2019

Keywords

POPULATIONS
PATTERNS
BUMPS

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10.1063/1.5087129Licence: Unspecified

Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in M. S. Santos et al., Chaos, 29(4), 043106 (2019) and may be found at https://doi.org/10.1063/1.5087129.
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@article{22925a90f6e7464a935b776fb2420397,

title = "Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network",

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.",

keywords = "POPULATIONS, PATTERNS, BUMPS",

author = "Santos, {Moises S.} and Protachevicz, {Paulo R.} and Iarosz, {Kelly C.} and Caldas, {Iber{\^e} L.} and Viana, {Ricardo L.} and Borges, {Fernando S.} and Hai-Peng Ren and Szezech, {Jos{\'e} D.} and Batista, {Antonio M.} and Celso Grebogi",

note = "We wish to acknowledge the support from Funda{\c c}{\~a}o Arauc{\'a}ria, CNPq (Grant No. 150701/2018-7), CAPES, and FAPESP (Grant Nos. 2015/07311-7, 2018/03211-6, and 2017/18977-1).",

year = "2019",

month = apr,

doi = "10.1063/1.5087129",

language = "English",

volume = "29",

journal = "Chaos",

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publisher = "American Institute of Physics",

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T1 - Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network

AU - Santos, Moises S.

AU - Protachevicz, Paulo R.

AU - Iarosz, Kelly C.

AU - Caldas, Iberê L.

AU - Viana, Ricardo L.

AU - Borges, Fernando S.

AU - Ren, Hai-Peng

AU - Szezech, José D.

AU - Batista, Antonio M.

AU - Grebogi, Celso

N1 - We wish to acknowledge the support from Fundação Araucária, CNPq (Grant No. 150701/2018-7), CAPES, and FAPESP (Grant Nos. 2015/07311-7, 2018/03211-6, and 2017/18977-1).

PY - 2019/4

Y1 - 2019/4

N2 - 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.

AB - 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.

KW - POPULATIONS

KW - PATTERNS

KW - BUMPS

UR - http://www.mendeley.com/research/spikeburst-chimera-states-adaptive-exponential-integrateandfire-neuronal-network

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DO - 10.1063/1.5087129

M3 - Article

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VL - 29

JO - Chaos

JF - Chaos

SN - 1054-1500

IS - 4

M1 - 043106

ER -

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

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