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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Suppression of phase synchronisation in network based on cat's brain

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Lameu, Ewandson L. [1] ; Borges, Fernando S. [1] ; Borges, Rafael R. [1] ; Iarosz, Kelly C. [2] ; Caldas, Ibere L. [2] ; Batista, Antonio M. [3] ; Viana, Ricardo L. [4] ; Kurths, Juergen [5, 6, 7]
Total Authors: 8
[1] Univ Estadual Ponta Grossa, Posgrad Ciencias, Ponta Grossa, Parana - Brazil
[2] Univ Sao Paulo, Inst Fis, CP 20516, BR-01498 Sao Paulo, SP - Brazil
[3] Univ Estadual Ponta Grossa, Dept Matemat & Estat, Ponta Grossa, Parana - Brazil
[4] Univ Fed Parana, Dept Fis, BR-80060000 Curitiba, Parana - Brazil
[5] Potsdam Inst Climate Impact Res, Potsdam - Germany
[6] Humboldt Univ, Dept Phys, Invalidenstr 110, Berlin - Germany
[7] Inst Complex Syst & Math Biol, Aberdeen - Scotland
Total Affiliations: 7
Document type: Journal article
Source: Chaos; v. 26, n. 4 APR 2016.
Web of Science Citations: 10

We have studied the effects of perturbations on the cat's cerebral cortex. According to the literature, this cortex structure can be described by a clustered network. This way, we construct a clustered network with the same number of areas as in the cat matrix, where each area is described as a sub-network with a small-world property. We focus on the suppression of neuronal phase synchronisation considering different kinds of perturbations. Among the various controlling interventions, we choose three methods: delayed feedback control, external time-periodic driving, and activation of selected neurons. We simulate these interventions to provide a procedure to suppress undesired and pathological abnormal rhythms that can be associated with many forms of synchronisation. In our simulations, we have verified that the efficiency of synchronisation suppression by delayed feedback control is higher than external time-periodic driving and activation of selected neurons of the cat's cerebral cortex with the same coupling strengths. (C) 2016 AIP Publishing LLC. (AU)

FAPESP's process: 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants
FAPESP's process: 15/07311-7 - Dynamic behaviour of neural networks
Grantee:Kelly Cristiane Iarosz
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/19296-1 - Nonlinear dynamics
Grantee:Iberê Luiz Caldas
Support type: Research Projects - Thematic Grants