Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9778
For citation please use:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorUlonska, Stefan-
dc.contributor.authorOmelchenko, Iryna-
dc.contributor.authorZakharova, Anna-
dc.contributor.authorSchöll, Eckehard-
dc.date.accessioned2020-03-06T15:38:13Z-
dc.date.available2020-03-06T15:38:13Z-
dc.date.issued2016-09-22-
dc.identifier.issn1054-1500-
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10885-
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9778-
dc.descriptionThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Chaos 26, 094825 (2016) and may be found at https://doi.org/10.1063/1.4962913.en
dc.description.abstractChimera states are complex spatio-temporal patterns that consist of coexisting domains of coherent and incoherent dynamics. We analyse chimera states in ring networks of Van der Pol oscillators with hierarchical coupling topology. We investigate the stepwise transition from a nonlocal to a hierarchical topology and propose the network clustering coefficient as a measure to establish a link between the existence of chimera states and the compactness of the initial base pattern of a hierarchical topology; we show that a large clustering coefficient promotes the occurrence of chimeras. Depending on the level of hierarchy and base pattern, we obtain chimera states with different numbers of incoherent domains. We investigate the chimera regimes as a function of coupling strength and nonlinearity parameter of the individual oscillators. The analysis of a network with larger base pattern resulting in larger clustering coefficient reveals two different types of chimera states and highlights the increasing role of amplitude dynamics. Chimera states are an example of intriguing partial synchronization patterns appearing in networks of identical oscillators. They exhibit a hybrid structure combining coexisting spatial domains of coherent (synchronized) and incoherent (desynchronized) dynamics.1,2 Recent studies have demonstrated the emergence of chimera states in a variety of topologies and for different types of individual dynamics. In this paper, we analyze chimera states in networks with complex coupling topologies arising in neuroscience. We provide a systematic analysis of the transition from nonlocal to hierarchical (quasi-fractal) connectivities in ring networks of identical Van der Pol oscillators and use the clustering coefficient and the symmetry properties to classify different topologies with respect to the occurrence of chimera states. We show that symmetric connectivities with large clustering coefficients promote the emergence of chimera states, while they are suppressed by slight topological asymmetries or small clustering coefficient.en
dc.description.sponsorshipDFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepteen
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc530 Physikde
dc.subject.otherchimera statesen
dc.subject.otherVan der Pol oscillatorsen
dc.subject.othercoupling topologyen
dc.subject.otherclustering coefficienten
dc.titleChimera states in networks of Van der Pol oscillators with hierarchical connectivitiesen
dc.typeArticleen
tub.accessrights.dnbfreeen
tub.publisher.universityorinstitutionTechnische Universität Berlinen
dc.identifier.eissn1089-7682-
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1063/1.4962913en
dcterms.bibliographicCitation.journaltitleChaos: An Interdisciplinary Journal of Nonlinear Scienceen
dcterms.bibliographicCitation.originalpublisherplaceMelville, NYen
dcterms.bibliographicCitation.volume26en
dcterms.bibliographicCitation.originalpublishernameAmerican Institute of Physics (AIP)en
dcterms.bibliographicCitation.issue9en
dcterms.bibliographicCitation.articlenumber094825en
Appears in Collections:FG Nichtlineare Dynamik und Kontrolle » Publications

Files in This Item:
schoell_etal_2016.pdf
Format: Adobe PDF | Size: 3.02 MB
DownloadShow Preview
Thumbnail

Item Export Bar

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.