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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3T72D4L
Repositorysid.inpe.br/mtc-m21c/2019/04.23.18.21   (restricted access)
Last Update2019:04.23.18.21.47 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/04.23.18.21.47
Metadata Last Update2020:01.06.11.42.13 (UTC) administrator
DOI10.3389/fncom.2019.00019
ISSN1662-5188
Citation KeyProtacheviczBLJIKCSBMABK:2019:BiFiPa
TitleBistable firing pattern in a neural network model
Year2019
MonthFeb.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size4078 KiB
2. Context
Author 1 Protachevicz, Paulo R.
 2 Borges, Fernando S.
 3 Lameu, Ewandson Luiz
 4 Ji, Peng
 5 Iarosz, Kelly c.
 6 Kihara, Alexandre H.
 7 Caldas, Ibere L.
 8 Szezech Junior, José D.
 9 Baptista, Murilo S.
10 Macau, Elbert Einstein Nehrer
11 Antonopoulos, Chris G.
12 Batista, Antonio M.
13 Kuths, Jurgen
Resume Identifier 1
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 4
 5
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 8
 9
10 8JMKD3MGP5W/3C9JGUT
Group 1
 2
 3 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
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10 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation 1 Universidade Estadual de Ponta Grossa
 2 Universidade Federal do ABC (UFABC)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Fudan University
 5 Universidade de São Paulo (USP)
 6 Universidade Federal do ABC (UFABC)
 7 Universidade de São Paulo (USP)
 8 Universidade Estadual de Ponta Grossa
 9 University of Aberdeen
10 Instituto Nacional de Pesquisas Espaciais (INPE)
11 University of Essex
12 Universidade Estadual de Ponta Grossa
13 Potsdam Institute for Climate Impact Research
Author e-Mail Address 1
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10 elbert.macau@inpe.br
11
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13 kurths@pik-potsdam.de
JournalFrontiers in Computational Neuroscience
Volume13
History (UTC)2019-04-23 18:24:30 :: simone -> administrator :: 2019
2020-01-06 11:42:13 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsbistable regime
network
adaptive exponential integrate-and-fire neural model
neural dynamics
synchronization
epilepsy
AbstractExcessively 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.
AreaCOMP
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4. Conditions of access and use
Languageen
Target Filefncom-13-00019.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/bibdigital/2013/10.12.22.16 4
sid.inpe.br/bibdigital/2013/09.22.23.14 3
sid.inpe.br/mtc-m21/2012/07.13.14.45.07 2
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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7. Description control
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