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  Recurrence-Based Synchronization Analysis of Weakly Coupled Bursting Neurons under External ELF Fields

Nkomidio, A. M., Ngamga, E. J., Nbendjo, B. R. N., Kurths, J., Marwan, N. (2022): Recurrence-Based Synchronization Analysis of Weakly Coupled Bursting Neurons under External ELF Fields. - Entropy, 24, 2, 235.
https://doi.org/10.3390/e24020235

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 Creators:
Nkomidio, Aissatou Mboussi1, Author
Ngamga, Eulalie Joelle2, Author              
Nbendjo, Blaise Romeo Nana1, Author
Kurths, Jürgen2, Author              
Marwan, Norbert2, Author              
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Free keywords: neuron; electric field; weak coupling; gap junction; synchronization; recurrence plot
 Abstract: We investigate the response characteristics of a two-dimensional neuron model exposed to an externally applied extremely low frequency (ELF) sinusoidal electric field and the synchronization of neurons weakly coupled with gap junction. We find, by numerical simulations, that neurons can exhibit different spiking patterns, which are well observed in the structure of the recurrence plot (RP). We further study the synchronization between weakly coupled neurons in chaotic regimes under the influence of a weak ELF electric field. In general, detecting the phases of chaotic spiky signals is not easy by using standard methods. Recurrence analysis provides a reliable tool for defining phases even for noncoherent regimes or spiky signals. Recurrence-based synchronization analysis reveals that, even in the range of weak coupling, phase synchronization of the coupled neurons occurs and, by adding an ELF electric field, this synchronization increases depending on the amplitude of the externally applied ELF electric field. We further suggest a novel measure for RP-based phase synchronization analysis, which better takes into account the probabilities of recurrences.

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 Dates: 2022-02-012022-02-032022-02-03
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: We investigate the response characteristics of a two-dimensional neuron model exposed to an externally applied extremely low frequency (ELF) sinusoidal electric field and the synchronization of neurons weakly coupled with gap junction. We find, by numerical simulations, that neurons can exhibit different spiking patterns, which are well observed in the structure of the recurrence plot (RP). We further study the synchronization between weakly coupled neurons in chaotic regimes under the influence of a weak ELF electric field. In general, detecting the phases of chaotic spiky signals is not easy by using standard methods. Recurrence analysis provides a reliable tool for defining phases even for noncoherent regimes or spiky signals. Recurrence-based synchronization analysis reveals that, even in the range of weak coupling, phase synchronization of the coupled neurons occurs and, by adding an ELF electric field, this synchronization increases depending on the amplitude of the externally applied ELF electric field. We further suggest a novel measure for RP-based phase synchronization analysis, which better takes into account the probabilities of recurrences
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/e24020235
PIKDOMAIN: RD4 - Complexity Science
MDB-ID: yes - 3290
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Health
Model / method: Nonlinear Data Analysis
Model / method: Open Source Software
OATYPE: Gold Open Access
 Degree: -

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Title: Entropy
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 24 (2) Sequence Number: 235 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/entropy
Publisher: MDPI