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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.)

Bistable Firing Pattern in a Neural Network Model

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Author(s):
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Protachevicz, Paulo R. [1] ; Borges, Fernando S. [2] ; Lameu, Ewandson L. [3] ; Ji, Peng [4, 5] ; Iarosz, Kelly C. [6] ; Kihara, Alexandre H. [2] ; Caldas, Lbere L. [6] ; Szezech Jr, Jose D. ; Baptiste, Murilo S. [7] ; Macau, Elbert E. N. [3] ; Antonopoulos, Chris G. [8] ; Batista, Antonio M. [9, 10] ; Kurthsw, Juergen [11, 12]
Total Authors: 13
Affiliation:
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[1] Univ Estadual Ponta Grossa, Grad Sci Program Phys, Ponta Grossa - Brazil
[2] Fed Univ ABC, Ctr Math Computat & Cognit, Sao Bernardo Do Campo - Brazil
[3] Natl Inst Space Res, Sao Jose Dos Campos - Brazil
[4] Fudan Univ, Minist Educ, Key Lab Computat Neurosci & Brain Inspired Intell, Shanghai - Peoples R China
[5] Fudan Univ, Inst Sci & Technol Brain Inspired Intelligence, Shanghai - Peoples R China
[6] Univ Sao Paulo, Inst Phys, Sao Paulo - Brazil
[7] Univ Aberdeen, SUPA, Inst Complex Syst & Math Biol, Aberdeen - Scotland
[8] Univ Essex, Dept Math Sci, Colchester, Essex - England
[9] Szezech Jr, Jr., Jose D., Univ Estadual Ponta Grossa, Grad Sci Program Phys, Ponta Grossa - Brazil
[10] Szezech Jr, Jr., Jose D., Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa - Brazil
[11] Humboldt Univ, Dept Phys, Berlin - Germany
[12] Potsdam Inst Climate Impact Res, Potsdam - Germany
Total Affiliations: 12
Document type: Journal article
Source: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE; v. 13, APR 5 2019.
Web of Science Citations: 1
Abstract

Excessively high, neural synchronization has been associated with epileptic seizures, one of the most common brain diseases worldwide. A better understanding of neural synchronization mechanisms can thus help control or even treat epilepsy. In this paper, we study neural synchronization in a random network where nodes are neurons with excitatory and inhibitory synapses, and neural activity for each node is provided by the adaptive exponential integrate-and-fire model. In this framework, we verify that the decrease in the influence of inhibition can generate synchronization originating from a pattern of desynchronized spikes. The transition from desynchronous spikes to synchronous bursts of activity, induced by varying the synaptic coupling, emerges in a hysteresis loop due to bistability where abnormal (excessively high synchronous) regimes exist. We verify that, for parameters in the bistability regime, a square current pulse can trigger excessively high (abnormal) synchronization, a process that can reproduce features of epileptic seizures. Then, we show that it is possible to suppress such abnormal synchronization by applying a small-amplitude external current on > 10% of the neurons in the network. Our results demonstrate that external electrical stimulation not only can trigger synchronous behavior, but more importantly, it can be used as a means to reduce abnormal synchronization and thus, control or treat effectively epileptic seizures. (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: 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: 16/16148-5 - Synchronous behaviour and synaptic plasticity in complex networks
Grantee:Kelly Cristiane Iarosz
Support type: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 18/03211-6 - Non linear dynamics
Grantee:Iberê Luiz Caldas
Support type: Research Projects - Thematic Grants