| Title: | Synchronization in simplicial complexes of memristive Rulkov neurons |
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| Authors: | ID Mehrabbeik, Mahtab (Author)
ID Jafari, Sajad (Author)
ID Perc, Matjaž (Author) |
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| Files: |  RAZ_Mehrabbeik_Mahtab_2023.pdf (2,78 MB)
MD5: 0CCB99765C6F9C69BDDE156770F2792E
 https://doi.org/10.3389/fncom.2023.1248976
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | Simplicial complexes are mathematical constructions that describe higher-order interactions within the interconnecting elements of a network. Such higher-order interactions become increasingly significant in neuronal networks since biological backgrounds and previous outcomes back them. In light of this, the current research explores a higher-order network of the memristive Rulkov model. To that end, the master stability functions are used to evaluate the synchronization of a network with pure pairwise hybrid (electrical and chemical) synapses alongside a network with two-node electrical and multi-node chemical connections. The findings provide good insight into the impact of incorporating higher-order interaction in a network. Compared to two-node chemical synapses, higher-order interactions adjust the synchronization patterns to lower multi-node chemical coupling parameter values. Furthermore, the effect of altering higher-order coupling parameter value on the dynamics of neurons in the synchronization state is researched. It is also shown how increasing network size can enhance synchronization by lowering the value of coupling parameters whereby synchronization occurs. Except for complete synchronization, cluster synchronization is detected for higher electrical coupling strength values wherein the neurons are out of the completed synchronization state. |
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| Keywords: | simplicial complex, higher-order network, memristive Rulkov, synchronization, cluster synchronization |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 27.06.2023 |
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| Article acceptance date: | 11.08.2023 |
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| Publication date: | 31.08.2023 |
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| Publisher: | Frontiers Media |
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| Year of publishing: | 2023 |
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| Number of pages: | 12 str. |
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| Numbering: | Vol. 17, [article no.] ǂ1248976 |
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| PID: | 20.500.12556/DKUM-88200  |
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| UDC: | 53 |
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| ISSN on article: | 1662-5188 |
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| COBISS.SI-ID: | 163917827 |
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| DOI: | 10.3389/fncom.2023.1248976 |
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| Publication date in DKUM: | 11.09.2024 |
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| Views: | 37 |
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| Downloads: | 8 |
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| Metadata: |    |
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| Categories: | Misc.
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