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dc.contributor.authorDrauschke, Fenja-
dc.contributor.authorSawicki, Jakub-
dc.contributor.authorBerner, Rico-
dc.contributor.authorOmelchenko, Iryna-
dc.contributor.authorSchöll, Eckehard-
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 30, 051104 (2020) and may be found at
dc.description.abstractRelay synchronization in complex networks is characterized by the synchronization of remote parts of the network due to their interaction via a relay. In multilayer networks, distant layers that are not connected directly can synchronize due to signal propagation via relay layers. In this work, we investigate relay synchronization of partial synchronization patterns like chimera states in three-layer networks of interacting FitzHugh–Nagumo oscillators. We demonstrate that the phenomenon of relay synchronization is robust to topological random inhomogeneities of small-world type in the layer networks. We show that including randomness in the connectivity structure either of the remote network layers or of the relay layer increases the range of interlayer coupling strength where relay synchronization can be observed.en
dc.description.sponsorshipDFG, 411803875, Dynamik gekoppelter Systeme mit Zeitverzögerungen und deren Anwendungenen
dc.description.sponsorshipDFG, 163436311, SFB 910: Kontrolle selbstorganisierender nichtlinearer Systeme: Theoretische Methoden und Anwendungskonzepteen
dc.description.sponsorshipDFG, 308748074, DFG-RSF: Komplexe dynamische Netzwerke: Effekte von heterogenen, adaptiven und zeitverzögerten Kopplungenen
dc.subject.ddc530 Physikde
dc.subject.otherartificial neural networksen
dc.subject.otherring networksen
dc.subject.othernonlinear systemsen
dc.subject.othernetwork theoryen
dc.subject.othercoupled oscillatorsen
dc.subject.othersocial networksen
dc.subject.othergraph theoryen
dc.titleEffect of topology upon relay synchronization in triplex neuronal networksen
tub.publisher.universityorinstitutionTechnische Universität Berlinde
dcterms.bibliographicCitation.journaltitleChaos: An Interdisciplinary Journal of Nonlinear Scienceen
dcterms.bibliographicCitation.originalpublisherplaceMelville, NYen
dcterms.bibliographicCitation.originalpublishernameAmerican Institute of Physics (AIP)en
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