%0 Journal Article
%4 sid.inpe.br/mtc-m21c/2019/04.23.18.21
%2 sid.inpe.br/mtc-m21c/2019/04.23.18.21.47
%@doi 10.3389/fncom.2019.00019
%@issn 1662-5188
%T Bistable firing pattern in a neural network model
%D 2019
%8 Feb.
%9 journal article
%A Protachevicz, Paulo R.,
%A Borges, Fernando S.,
%A Lameu, Ewandson Luiz,
%A Ji, Peng,
%A Iarosz, Kelly c.,
%A Kihara, Alexandre H.,
%A Caldas, Ibere L.,
%A Szezech Junior, José D.,
%A Baptista, Murilo S.,
%A Macau, Elbert Einstein Nehrer,
%A Antonopoulos, Chris G.,
%A Batista, Antonio M.,
%A Kuths, Jurgen,
%@affiliation Universidade Estadual de Ponta Grossa
%@affiliation Universidade Federal do ABC (UFABC)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Fudan University
%@affiliation Universidade de São Paulo (USP)
%@affiliation Universidade Federal do ABC (UFABC)
%@affiliation Universidade de São Paulo (USP)
%@affiliation Universidade Estadual de Ponta Grossa
%@affiliation University of Aberdeen
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation University of Essex
%@affiliation Universidade Estadual de Ponta Grossa
%@affiliation Potsdam Institute for Climate Impact Research
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%@electronicmailaddress
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%@electronicmailaddress
%@electronicmailaddress elbert.macau@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress kurths@pik-potsdam.de
%B Frontiers in Computational Neuroscience
%V 13
%K bistable regime, network, adaptive exponential integrate-and-fire neural model, neural dynamics, synchronization, epilepsy.
%X 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.
%@language en
%3 fncom-13-00019.pdf