Suppression of phase synchronisation in network ba... - BV FAPESP
Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
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]
Número total de Autores: 8
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 7
Tipo de documento: Artigo Científico
Fonte: Chaos; v. 26, n. 4 APR 2016.
Citações Web of Science: 10
Resumo

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)

Processo FAPESP: 15/07311-7 - Comportamento dinâmico de redes neurais
Beneficiário:Kelly Cristiane Iarosz
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 11/50151-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
Beneficiário:Elbert Einstein Nehrer Macau
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 11/19296-1 - Dinâmica não linear
Beneficiário:Iberê Luiz Caldas
Modalidade de apoio: Auxílio à Pesquisa - Temático