Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/45546
Title: Remote Synchronization Reveals Network Symmetries and Functional Modules
Author: Nicosia, Vincenzo
Valencia, Miguel
Chavez, Mario
Díaz Guilera, Albert
Latora, Vito
Keywords: Xarxes neuronals (Neurobiologia)
Sincronització
Oscil·ladors elèctrics
Caos (Teoria de sistemes)
Complexitat computacional
Neurociències
Neural networks (Neurobiology)
Synchronization
Electric oscillators
Chaotic behavior in systems
Computational complexity
Neurosciences
Issue Date: 26-Apr-2013
Publisher: American Physical Society
Abstract: We study a Kuramoto model in which the oscillators are associated with the nodes of a complex network and the interactions include a phase frustration, thus preventing full synchronization. The system organizes into a regime of remote synchronization where pairs of nodes with the same network symmetry are fully synchronized, despite their distance on the graph. We provide analytical arguments to explain this result, and we show how the frustration parameter affects the distribution of phases. An application to brain networks suggests that anatomical symmetry plays a role in neural synchronization by determining correlated functional modules across distant locations.
Note: Reproducció del document publicat a: http://dx.doi.org/10.1103/PhysRevLett.110.174102
It is part of: Physical Review Letters, 2013, vol. 110, num. 17, p. 174102-1-174102-5
Related resource: http://dx.doi.org/10.1103/PhysRevLett.110.174102
URI: http://hdl.handle.net/2445/45546
ISSN: 0031-9007
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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