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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.)

Delayed feedback control of phase synchronisation in a neuronal network model

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Author(s):
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Mugnaine, Michele [1] ; Reis, Adriane S. [2] ; Borges, Fernando S. [3] ; Borges, Rafael R. [4] ; Ferrari, Fabiano A. S. [5] ; Iarosz, Kelly C. [6, 7, 8] ; Caldas, Ibere L. [8] ; Lameu, Ewandson L. [6, 9] ; Viana, Ricardo L. [2] ; Szezech, Jr., Jose D. [10, 1] ; Kurths, Juergen [6, 7] ; Batista, Antonio M. [7, 10, 1]
Total Authors: 12
Affiliation:
[1] Univ Estadual Ponta Grossa, Grad Sci Program, Ponta Grossa, PR - Brazil
[2] Univ Fed Parana, Dept Phys, Curitiba, Parana - Brazil
[3] Fed Univ ABC, Ctr Math Computat & Cognit, Sao Bernardo Do Campo, SP - Brazil
[4] Fed Technol Univ Parana, Dept Math, Ponta Grossa, PR - Brazil
[5] Fed Univ Vales Jequitinhonha & Macuri, Inst Engn Sci & Technol, Janauba, MG - Brazil
[6] Humboldt Univ, Dept Phys, Berlin - Germany
[7] Potsdam Inst Climate Impact Res, Potsdam - Germany
[8] Univ Sao Paulo, Inst Phys, Sao Paulo, SP - Brazil
[9] Natl Inst Space Res, Sao Jose Dos Campos, SP - Brazil
[10] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, PR - Brazil
Total Affiliations: 10
Document type: Journal article
Source: European Physical Journal-Special Topics; v. 227, n. 10-11, p. 1151-1160, NOV 2018.
Web of Science Citations: 2
Abstract

The human cerebral cortex can be separated into cortical areas forming a clustered network structure. We build two different clustered networks, where one network is based on a healthy brain and the other according to a brain affected by a neurodegenerative process. Each cortical area has a subnetwork with small-world properties. We verify that both networks exhibit rich-club organisation and phase synchronisation. Due to the fact that neuronal synchronisation can be related to brain diseases, we consider the delayed feedback control as a method to suppress synchronous behaviours. In this work, it is presented that depending on the feedback parameters, intensity and time delay, phase synchronisation in both networks can be suppressed. Therefore, one of our main results is to show that delayed feedback control can be used to suppress undesired synchronous behaviours not only in the healthy brain, but also in the brain marked by neurodegenerative processes. (AU)

FAPESP's process: 16/23398-8 - Synaptic plasticity in neuronal networks with time delay
Grantee:Ewandson Luiz Lameu
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants
FAPESP's process: 17/18977-1 - Analysis of electrical synapses contribution in neuronal synchronization
Grantee:Fernando da Silva Borges
Support type: Scholarships in Brazil - Post-Doctorate
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
FAPESP's process: 17/13502-5 - Synchronisation in time-delayed networks with synaptic plasticity
Grantee:Ewandson Luiz Lameu
Support type: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 17/20920-8 - Plasticity in neuronal networks
Grantee:Kelly Cristiane Iarosz
Support type: Scholarships abroad - Research Internship - Post-doctor