Synchronization patterns in modular neuronal networks: a case study of C. elegans

Simple item page
dc.contributor.authorPournaki, Armin
dc.contributor.authorMerfort, Leon
dc.contributor.authorRuiz, Jorge
dc.contributor.authorKouvaris, Nikos E.
dc.contributor.authorHövel, Philipp
dc.contributor.authorHizanidis, Johanne
dc.contributor.funderDeutsche Forschungsgemeinschaften
dc.contributor.funderComisión Nacional de Investigación Científica y Tecnológicaen
dc.contributor.funderFP7 People: Marie-Curie Actionsen
dc.contributor.funderEuropean Commissionen
dc.contributor.funderGeneral Secretariat for Research and Technologyen
dc.contributor.funderHellenic Foundation for Research and Innovationen
dc.contributor.funderGerman Academic Exchange Service (DAAD)en
dc.contributor.funderUniversité Catholique de Louvainen
dc.contributor.funderUniversité de Namuren
dc.contributor.funderUniversité Saint-Louis, Bruxellesen
dc.date.accessioned2019-10-30T05:51:56Z
dc.date.available2019-10-30T05:51:56Z
dc.date.issued2019-10-24
dc.description.abstractWe investigate synchronization patterns and chimera-like states in the modular multilayer topology of the connectome of Caenorhabditis elegans. In the special case of a designed network with two layers, one with electrical intra-community links and one with chemical inter-community links, chimera-like states are known to exist. Aiming at a more biological approach based on the actual connectivity data, we consider a network consisting of two synaptic (electrical and chemical) and one extrasynaptic (wireless) layers. Analyzing the structure and properties of this layered network using Multilayer-Louvain community detection, we identify modules whose nodes are more strongly coupled with each other than with the rest of the network. Based on this topology, we study the dynamics of coupled Hindmarsh-Rose neurons. Emerging synchronization patterns are quantified using the pairwise Euclidean distances between the values of all oscillators, locally within each community and globally across the network. We find a tendency of the wireless coupling to moderate the average coherence of the system: for stronger wireless coupling, the levels of synchronization decrease both locally and globally, and chimera-like states are not favored. By introducing an alternative method to define meaningful communities based on the dynamical correlations of the nodes, we obtain a structure that is dominated by two large communities. This promotes the emergence of chimera-like states and allows to relate the dynamics of the corresponding neurons to biological neuronal functions such as motor activities.en
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (Grant no. HO4695/3-1); Hellenic Foundation for Research and Innovation (HFRI) (Code: 203); Université Catholique de Louvain, Université de Namur, Université Saint-Louis, Bruxelles (MOVE-IN Louvain fellowship)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid52en
dc.identifier.citationPournaki, A., Merfort, L., Ruiz, J., Kouvaris, N. E., Hövel, P. and Hizanidis, J. (2019) 'Synchronization Patterns in Modular Neuronal Networks: A Case Study of C. elegans', Frontiers in Applied Mathematics and Statistics, 5, 52. (19pp.) doi: 10.3389/fams.2019.00052en
dc.identifier.doi10.3389/fams.2019.00052en
dc.identifier.eissn2297-4687
dc.identifier.endpage19en
dc.identifier.journaltitleFrontiers in Applied Mathematics and Statisticsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8912
dc.identifier.volume5en
dc.language.isoenen
dc.publisherFrontiers Mediaen
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fams.2019.00052/full
dc.rights©2019 Pournaki, Merfort, Ruiz, Kouvaris, Hövel and Hizanidis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectSynchronizationen
dc.subjectMultilayer networken
dc.subjectChimera stateen
dc.subjectNeuronal oscillatorsen
dc.subjectMetastabilityen
dc.subjectCommunity detectionen
dc.titleSynchronization patterns in modular neuronal networks: a case study of C. elegansen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
fams-05-00052.pdf
Size:
8.27 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Thumbnail Image
Name:
Data_Sheet_1_Synchronization Patterns in Modular Neuronal Networks_ A Case Study of C. elegans.PDF
Size:
855.87 KB
Format:
Adobe Portable Document Format
Description:
Supplementary file 1
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Mathematical Sciences- Journal Articles