Synchronization in a higher-order neuronal network with blinking interactions
<p dir="ltr">The synchronization of higher-order networks presents a fascinating area of exploration within nonlinear dynamics and complex networks. Simultaneously, growing research interest focuses on uncovering synchronization dynamics in time-varying networks with time-dependent c...
محفوظ في:
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| مؤلفون آخرون: | , , , |
| منشور في: |
2024
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| _version_ | 1864513543060062208 |
|---|---|
| author | Parvathysankar Deivasundari (21841424) |
| author2 | Hayder Natiq (21841427) Shaobo He (5714621) Yuexi Peng (21841430) Iqtadar Hussain (14147850) |
| author2_role | author author author author |
| author_facet | Parvathysankar Deivasundari (21841424) Hayder Natiq (21841427) Shaobo He (5714621) Yuexi Peng (21841430) Iqtadar Hussain (14147850) |
| author_role | author |
| dc.creator.none.fl_str_mv | Parvathysankar Deivasundari (21841424) Hayder Natiq (21841427) Shaobo He (5714621) Yuexi Peng (21841430) Iqtadar Hussain (14147850) |
| dc.date.none.fl_str_mv | 2024-04-29T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1140/epjs/s11734-024-01160-z |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Synchronization_in_a_higher-order_neuronal_network_with_blinking_interactions/29714972 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Mathematical sciences Applied mathematics Higher-order networks Nonlinear dynamics Complex systems Time-varying networks Blinking coupling Synchronization |
| dc.title.none.fl_str_mv | Synchronization in a higher-order neuronal network with blinking interactions |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The synchronization of higher-order networks presents a fascinating area of exploration within nonlinear dynamics and complex networks. Simultaneously, growing research interest focuses on uncovering synchronization dynamics in time-varying networks with time-dependent coupling structures, reflecting their prevalence in real-world systems like neuronal networks. Motivated by this, the present study delves into the synchronization phenomenon within a higher-order network incorporating a blinking coupling scheme. Blinking coupling is an on–off switching coupling that has been demonstrated to enhance synchronization effectively. Its efficacy stems from ensuring synchronization, as the master stability function (MSF) follows a linear pattern. In this study, our objective is to investigate such a time-varying coupling scheme in a higher-order network configuration. We investigate the influence of coupling parameters and blinking frequency on synchronization behavior. Notably, our findings demonstrate that as the blinking frequency increases, the network exhibits a gradual convergence toward the behavior of the average network. Furthermore, leveraging the analytical framework of MSF and the average synchronization error, we provide analytical and numerical evidence confirming that the MSF pattern within the average network transforms into a linear function. The synchronous and asynchronous regions also exhibit a clear separation demarcated by a linear curve across the coupling parameter space. Moreover, our results suggest that incorporating higher-order interactions fosters enhanced synchrony by effectively scaling the synchronization patterns to lower coupling parameter values.</p><h2>Other Information</h2><p dir="ltr">Published in: The European Physical Journal Special Topics<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1140/epjs/s11734-024-01160-z" target="_blank">https://dx.doi.org/10.1140/epjs/s11734-024-01160-z</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_a1114fcd2086d7cb2e2089075a591633 |
| identifier_str_mv | 10.1140/epjs/s11734-024-01160-z |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29714972 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Synchronization in a higher-order neuronal network with blinking interactionsParvathysankar Deivasundari (21841424)Hayder Natiq (21841427)Shaobo He (5714621)Yuexi Peng (21841430)Iqtadar Hussain (14147850)Mathematical sciencesApplied mathematicsHigher-order networksNonlinear dynamicsComplex systemsTime-varying networksBlinking couplingSynchronization<p dir="ltr">The synchronization of higher-order networks presents a fascinating area of exploration within nonlinear dynamics and complex networks. Simultaneously, growing research interest focuses on uncovering synchronization dynamics in time-varying networks with time-dependent coupling structures, reflecting their prevalence in real-world systems like neuronal networks. Motivated by this, the present study delves into the synchronization phenomenon within a higher-order network incorporating a blinking coupling scheme. Blinking coupling is an on–off switching coupling that has been demonstrated to enhance synchronization effectively. Its efficacy stems from ensuring synchronization, as the master stability function (MSF) follows a linear pattern. In this study, our objective is to investigate such a time-varying coupling scheme in a higher-order network configuration. We investigate the influence of coupling parameters and blinking frequency on synchronization behavior. Notably, our findings demonstrate that as the blinking frequency increases, the network exhibits a gradual convergence toward the behavior of the average network. Furthermore, leveraging the analytical framework of MSF and the average synchronization error, we provide analytical and numerical evidence confirming that the MSF pattern within the average network transforms into a linear function. The synchronous and asynchronous regions also exhibit a clear separation demarcated by a linear curve across the coupling parameter space. Moreover, our results suggest that incorporating higher-order interactions fosters enhanced synchrony by effectively scaling the synchronization patterns to lower coupling parameter values.</p><h2>Other Information</h2><p dir="ltr">Published in: The European Physical Journal Special Topics<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1140/epjs/s11734-024-01160-z" target="_blank">https://dx.doi.org/10.1140/epjs/s11734-024-01160-z</a></p>2024-04-29T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1140/epjs/s11734-024-01160-zhttps://figshare.com/articles/journal_contribution/Synchronization_in_a_higher-order_neuronal_network_with_blinking_interactions/29714972CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/297149722024-04-29T09:00:00Z |
| spellingShingle | Synchronization in a higher-order neuronal network with blinking interactions Parvathysankar Deivasundari (21841424) Mathematical sciences Applied mathematics Higher-order networks Nonlinear dynamics Complex systems Time-varying networks Blinking coupling Synchronization |
| status_str | publishedVersion |
| title | Synchronization in a higher-order neuronal network with blinking interactions |
| title_full | Synchronization in a higher-order neuronal network with blinking interactions |
| title_fullStr | Synchronization in a higher-order neuronal network with blinking interactions |
| title_full_unstemmed | Synchronization in a higher-order neuronal network with blinking interactions |
| title_short | Synchronization in a higher-order neuronal network with blinking interactions |
| title_sort | Synchronization in a higher-order neuronal network with blinking interactions |
| topic | Mathematical sciences Applied mathematics Higher-order networks Nonlinear dynamics Complex systems Time-varying networks Blinking coupling Synchronization |