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Interlayer and intralayer synchronization in multiplex fractional-order neuronal networksYan, Bo ...Fractional-order models describing neuronal dynamics often exhibit better compatibility with diverse neuronal firing patterns that can be observed experimentally. Due to the overarching significance ... of synchronization in neuronal dynamics, we here study synchronization in multiplex neuronal networks that are composed of fractional-order Hindmarsh-Rose neurons. We compute the average synchronization error numerically for different derivative orders in dependence on the strength of the links within and between network layers. We find that, in general, fractional-order models synchronize better than integer-order models. In particular, we show that the required interlayer and intralayer coupling strengths for interlayer or intralayer synchronization can be weaker if we reduce the derivative order of the model describing the neuronal dynamics. Furthermore, the dependence of the interlayer or intralayer synchronization on the intralayer or interlayer coupling strength vanishes with decreasing derivative order. To support these results analytically, we use the master stability function approach for the considered multiplex fractional-order neuronal networks, by means of which we obtain sufficient conditions for the interlayer and intralayer synchronizations that are in agreement with numerical results.Source: Fractals. - ISSN 0218-348X (Vol. 30, no. 10, [article no.] 2240194, 2022, 11 str.)Type of material - article, component partPublish date - 2022Language - englishCOBISS.SI-ID - 127231235
Author | Yan, Bo ... |
Title | Interlayer and intralayer synchronization in multiplex fractional-order neuronal networks |
Publication date | 2022-10-19 |
COBISS.SI-ID | 127231235 |
Publication version in repository | Unidentified |
Publication licence | Creative Commons Attribution 4.0 International |
Embargo | Unidentified |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
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Računsko intenzivni kompleksni sistemi | P1-0403-2019 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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Fazni prehodi proti koordinaciji v večplastnih omrežjih | J1-2457-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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https://dk.um.si/IzpisGradiva.php?id=88775 |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Yan, Bo | |
Parastesh, Fatemeh | |
He, Shaobo | |
Rajagopal, Karthikeyan | |
Jafari, Sajad | |
Perc, Matjaž | 23428 |
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