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, V. Valencia, Miguel Chavez, Mario Díaz Guilera, Albert Latora, V. |
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 |
URI: | http://hdl.handle.net/2445/45546 |
Related resource: | http://dx.doi.org/10.1103/PhysRevLett.110.174102 |
ISSN: | 0031-9007 |
Appears in Collections: | Articles publicats en revistes (Física de la Matèria Condensada) |
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624347.pdf | 1.18 MB | Adobe PDF | View/Open |
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