Bistable Firing Pattern in a Neural Network Model

Author(s):Show less -

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]}

Affiliation:Show less -

^[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

• Document type: Journal article
• Source: FRONTIERS IN COMPUTATIONAL NEUROSCIENCE; v. 13, APR 5 2019.
• Web of Science Citations: 2

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