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Title: Remote Synchronization Reveals Network Symmetries and Functional Modules
Author: Nicosia, V.
Valencia, M.
Chavez, M.
Díaz Guilera, Albert
Latora, V.
Keywords: Xarxes neuronals (Neurobiologia)
Oscil·ladors elèctrics
Caos (Teoria de sistemes)
Complexitat computacional
Neural networks (Neurobiology)
Electric oscillators
Chaotic behavior in systems
Computational complexity
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:
It is part of: Physical Review Letters, 2013, vol. 110, num. 17, p. 174102-1-174102-5
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ISSN: 0031-9007
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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