| Full text | |
| Author(s): |
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
|
| Affiliation: | [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 |
| Abstract | |
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 |