@Article{ProtacheviczBLJIKCSBMABK:2019:BiFiPa,
author = "Protachevicz, Paulo R. and Borges, Fernando S. and Lameu, Ewandson
Luiz and Ji, Peng and Iarosz, Kelly c. and Kihara, Alexandre H.
and Caldas, Ibere L. and Szezech Junior, Jos{\'e} D. and
Baptista, Murilo S. and Macau, Elbert Einstein Nehrer and
Antonopoulos, Chris G. and Batista, Antonio M. and Kuths, Jurgen",
affiliation = "{Universidade Estadual de Ponta Grossa} and {Universidade Federal
do ABC (UFABC)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Fudan University} and {Universidade de S{\~a}o Paulo
(USP)} and {Universidade Federal do ABC (UFABC)} and {Universidade
de S{\~a}o Paulo (USP)} and {Universidade Estadual de Ponta
Grossa} and {University of Aberdeen} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {University of Essex} and
{Universidade Estadual de Ponta Grossa} and {Potsdam Institute for
Climate Impact Research}",
title = "Bistable firing pattern in a neural network model",
journal = "Frontiers in Computational Neuroscience",
year = "2019",
volume = "13",
month = "Feb.",
keywords = "bistable regime, network, adaptive exponential integrate-and-fire
neural model, neural dynamics, synchronization, epilepsy.",
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.",
doi = "10.3389/fncom.2019.00019",
url = "http://dx.doi.org/10.3389/fncom.2019.00019",
issn = "1662-5188",
language = "en",
targetfile = "fncom-13-00019.pdf",
urlaccessdate = "27 abr. 2024"
}