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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.)

Chimera-like states in a neuronal network model of the cat brain

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Author(s):
Santos, M. S. ; Szezech, J. D. ; Borges, F. S. ; Iarosz, K. C. ; Caldas, I. L. ; Batista, A. M. ; Viana, R. L. ; Kurths, J.
Total Authors: 8
Document type: Journal article
Source: CHAOS SOLITONS & FRACTALS; v. 101, p. 86-91, AUG 2017.
Web of Science Citations: 20
Abstract

Neuronal systems have been modelled by complex networks in different description levels. Recently, it has been verified that the networks can simultaneously exhibit one coherent and other incoherent domain, known as chimera states. In this work, we study the existence of chimera-like states in a network considering the connectivity matrix based on the cat cerebral cortex. The cerebral cortex of the cat can be separated in 65 cortical areas organised into the four cognitive regions: visual, auditory, somatosensory-motor and frontolimbic. We consider a network where the local dynamics is given by the Hindmarsh-Rose model. The Hindmarsh-Rose equations are a well known model of the neuronal activity that has been considered to simulate the membrane potential in neuron. Here, we analyse under which conditions chimera-like states are present, as well as the effects induced by intensity of coupling on them. We identify two different kinds of chimera-like states: spiking chimera-like state with desynchronised spikes, and bursting chimera-like state with desynchronised bursts. Moreover, we find that chimera-like states with desynchronised bursts are more robust to neuronal noise than with desynchronised spikes. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 16/16148-5 - Synchronous behaviour and synaptic plasticity in complex 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: 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications
Grantee:Elbert Einstein Nehrer Macau
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 11/19296-1 - Nonlinear dynamics
Grantee:Iberê Luiz Caldas
Support Opportunities: Research Projects - Thematic Grants