Chimera-like states in modular neural networks
Chimera states, namely the coexistence of coherent and incoherent behavior, were previously analyzed in complex networks. However, they have not been extensively studied in modular networks. Here, we consider a neural network inspired by the connectome of the C. elegans soil worm, organized into six...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/110189 |
| Acceso en línea: | https://hdl.handle.net/2445/110189 |
| Access Level: | acceso abierto |
| Palabra clave: | Xarxes neuronals (Informàtica) Conducta (Psicologia) Neurociències Simulació per ordinador Sistema nerviós Neural networks (Computer science) Human behavior Neurosciences Computer simulation Nervous system |
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Chimera-like states in modular neural networksHizanidis, JohanneKouvaris, Nikos E.Zamora López, GorkaDíaz Guilera, AlbertAntonopoulos, Chris G.Xarxes neuronals (Informàtica)Conducta (Psicologia)NeurociènciesSimulació per ordinadorSistema nerviósNeural networks (Computer science)Human behaviorNeurosciencesComputer simulationNervous systemChimera states, namely the coexistence of coherent and incoherent behavior, were previously analyzed in complex networks. However, they have not been extensively studied in modular networks. Here, we consider a neural network inspired by the connectome of the C. elegans soil worm, organized into six interconnected communities, where neurons obey chaotic bursting dynamics. Neurons are assumed to be connected with electrical synapses within their communities and with chemical synapses across them. As our numerical simulations reveal, the coaction of these two types of coupling can shape the dynamics in such a way that chimera-like states can happen. They consist of a fraction of synchronized neurons which belong to the larger communities, and a fraction of desynchronized neurons which are part of smaller communities. In addition to the Kuramoto order parameter ρ, we also employ other measures of coherence, such as the chimera-like χ and metastability λ indices, which quantify the degree of synchronization among communities and along time, respectively. We perform the same analysis for networks that share common features with the C. elegans neural network. Similar results suggest that under certain assumptions, chimera-like states are prominent phenomena in modular networks, and might provide insight for the behavior of more complex modular networks.Nature Publishing Group2017201720162017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/110189Articles publicats en revistes (Física de la Matèria Condensada)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1038/srep19845Scientific Reports, 2016, vol. 6, p. 19845https://doi.org/10.1038/srep19845info:eu-repo/grantAgreement/EC/FP7/318132info:eu-repo/grantAgreement/EC/FP7/331800info:eu-repo/grantAgreement/EC/FP7/316165info:eu-repo/grantAgreement/EC/FP7/317532cc-by (c) Hizanidis, Johanne et al., 2016http://creativecommons.org/licenses/by/3.0/esinfo:eu-repo/semantics/openAccessoai:recercat.cat:2445/1101892026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Chimera-like states in modular neural networks |
| title |
Chimera-like states in modular neural networks |
| spellingShingle |
Chimera-like states in modular neural networks Hizanidis, Johanne Xarxes neuronals (Informàtica) Conducta (Psicologia) Neurociències Simulació per ordinador Sistema nerviós Neural networks (Computer science) Human behavior Neurosciences Computer simulation Nervous system |
| title_short |
Chimera-like states in modular neural networks |
| title_full |
Chimera-like states in modular neural networks |
| title_fullStr |
Chimera-like states in modular neural networks |
| title_full_unstemmed |
Chimera-like states in modular neural networks |
| title_sort |
Chimera-like states in modular neural networks |
| dc.creator.none.fl_str_mv |
Hizanidis, Johanne Kouvaris, Nikos E. Zamora López, Gorka Díaz Guilera, Albert Antonopoulos, Chris G. |
| author |
Hizanidis, Johanne |
| author_facet |
Hizanidis, Johanne Kouvaris, Nikos E. Zamora López, Gorka Díaz Guilera, Albert Antonopoulos, Chris G. |
| author_role |
author |
| author2 |
Kouvaris, Nikos E. Zamora López, Gorka Díaz Guilera, Albert Antonopoulos, Chris G. |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Xarxes neuronals (Informàtica) Conducta (Psicologia) Neurociències Simulació per ordinador Sistema nerviós Neural networks (Computer science) Human behavior Neurosciences Computer simulation Nervous system |
| topic |
Xarxes neuronals (Informàtica) Conducta (Psicologia) Neurociències Simulació per ordinador Sistema nerviós Neural networks (Computer science) Human behavior Neurosciences Computer simulation Nervous system |
| description |
Chimera states, namely the coexistence of coherent and incoherent behavior, were previously analyzed in complex networks. However, they have not been extensively studied in modular networks. Here, we consider a neural network inspired by the connectome of the C. elegans soil worm, organized into six interconnected communities, where neurons obey chaotic bursting dynamics. Neurons are assumed to be connected with electrical synapses within their communities and with chemical synapses across them. As our numerical simulations reveal, the coaction of these two types of coupling can shape the dynamics in such a way that chimera-like states can happen. They consist of a fraction of synchronized neurons which belong to the larger communities, and a fraction of desynchronized neurons which are part of smaller communities. In addition to the Kuramoto order parameter ρ, we also employ other measures of coherence, such as the chimera-like χ and metastability λ indices, which quantify the degree of synchronization among communities and along time, respectively. We perform the same analysis for networks that share common features with the C. elegans neural network. Similar results suggest that under certain assumptions, chimera-like states are prominent phenomena in modular networks, and might provide insight for the behavior of more complex modular networks. |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016 2017 2017 2017 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2445/110189 |
| url |
https://hdl.handle.net/2445/110189 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Reproducció del document publicat a: https://doi.org/10.1038/srep19845 Scientific Reports, 2016, vol. 6, p. 19845 https://doi.org/10.1038/srep19845 info:eu-repo/grantAgreement/EC/FP7/318132 info:eu-repo/grantAgreement/EC/FP7/331800 info:eu-repo/grantAgreement/EC/FP7/316165 info:eu-repo/grantAgreement/EC/FP7/317532 |
| dc.rights.none.fl_str_mv |
cc-by (c) Hizanidis, Johanne et al., 2016 http://creativecommons.org/licenses/by/3.0/es info:eu-repo/semantics/openAccess |
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cc-by (c) Hizanidis, Johanne et al., 2016 http://creativecommons.org/licenses/by/3.0/es |
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openAccess |
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application/pdf |
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Nature Publishing Group |
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Nature Publishing Group |
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Articles publicats en revistes (Física de la Matèria Condensada) reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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