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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.)

A network of networks model to study phase synchronization using structural connection matrix of human brain

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Author(s):
Ferrari, F. A. S. [1] ; Viana, R. L. [2] ; Reis, A. S. [2] ; Iarosz, K. C. [3] ; Caldas, I. L. [3] ; Batista, A. M. [3, 4]
Total Authors: 6
Affiliation:
[1] Univ Fed Vales Jequitinhonha & Mucuri, Inst Engn Ciencia & Tecnol, Janauba, MG - Brazil
[2] Univ Fed Parana, Dept Fis, Curitiba, Parana - Brazil
[3] Univ Sao Paulo, Inst Fis, Sao Paulo, SP - Brazil
[4] Univ Estadual Ponta Grosso, Dept Matemat & Estat, Ponta Grossa, PR - Brazil
Total Affiliations: 4
Document type: Journal article
Source: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 496, p. 162-170, APR 15 2018.
Web of Science Citations: 8
Abstract

The cerebral cortex plays a key role in complex cortical functions. It can be divided into areas according to their function (motor, sensory and association areas). In this paper, the cerebral cortex is described as a network of networks (cortex network), we consider that each cortical area is composed of a network with small-world property (cortical network). The neurons are assumed to have bursting properties with the dynamics described by the Rulkov model. We study the phase synchronization of the cortex network and the cortical networks. In our simulations, we verify that synchronization in cortex network is not homogeneous. Besides, we focus on the suppression of neural phase synchronization. Synchronization can be related to undesired and pathological abnormal rhythms in the brain. For this reason, we consider the delayed feedback control to suppress the synchronization. We show that delayed feedback control is efficient to suppress synchronous behavior in our network model when an appropriate signal intensity and time delay are defined. (C) 2017 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 17/20920-8 - Plasticity in neuronal networks
Grantee:Kelly Cristiane Iarosz
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 15/07311-7 - Dynamic behaviour of neural networks
Grantee:Kelly Cristiane Iarosz
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 11/19296-1 - Nonlinear dynamics
Grantee:Iberê Luiz Caldas
Support Opportunities: Research Projects - Thematic Grants