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  Role of coupling delay in oscillatory activity in autonomous networks of excitable neurons with dissipation

Bukh, A. V., Shepelev, I. A., Elizarov, E. M., Muni, S. S., Schöll, E., Strelkova, G. I. (2023): Role of coupling delay in oscillatory activity in autonomous networks of excitable neurons with dissipation. - Chaos, 33, 7, 073114.
https://doi.org/10.1063/5.0147883

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 Creators:
Bukh, A. V. 1, Author
Shepelev, I. A. 1, Author
Elizarov, E. M. 1, Author
Muni, S. S. 1, Author
Schöll, Eckehard2, Author              
Strelkova, G. I. , Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We study numerically effects of time delay in networks of delay-coupled excitable FitzHugh–Nagumo systems with dissipation. Generation of periodic self-sustained oscillations and its threshold are analyzed depending on the dissipation of a single neuron, the delay time, and random initial conditions. The peculiarities of spatiotemporal dynamics of time-delayed bidirectional ring-structured FitzHugh–Nagumo neuronal systems are investigated in cases of local and nonlocal coupling topology between the nodes, and a first-order nonequilibrium phase transition to synchrony is established. It is shown that the emergence of an oscillatory activity in delay-coupled FitzHugh–Nagumo neurons is observed for smaller values of the coupling strength as the dissipation parameter decreases. This can provide the possibility of controlling the spatiotemporal behavior of the considered neuronal networks. The observed effects are quantified by plotting distributions of the maximal Lyapunov exponent and the global order parameter in terms of delay and coupling strength.

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Language(s): eng - English
 Dates: 2023-07-052023-07-05
 Publication Status: Finally published
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0147883
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Quantitative Methods
OATYPE: Green Open Access
 Degree: -

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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 33 (7) Sequence Number: 073114 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)