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dc.contributor.authorBashkirtseva, I.en
dc.contributor.authorRyashko, L.en
dc.contributor.authorUsed, J.en
dc.contributor.authorSeoane, J. M.en
dc.contributor.authorSanjuán, M. A. F.en
dc.date.accessioned2024-04-05T16:36:28Z-
dc.date.available2024-04-05T16:36:28Z-
dc.date.issued2023-
dc.identifier.citationBashkirtseva, I, Ryashko, L, Used, J, Seoane, JM & Sanjuán, MAF 2023, 'Noise-induced complex dynamics and synchronization in the map-based Chialvo neuron model', Communications in Nonlinear Science and Numerical Simulation, Том. 116, 106867. https://doi.org/10.1016/j.cnsns.2022.106867harvard_pure
dc.identifier.citationBashkirtseva, I., Ryashko, L., Used, J., Seoane, J. M., & Sanjuán, M. A. F. (2023). Noise-induced complex dynamics and synchronization in the map-based Chialvo neuron model. Communications in Nonlinear Science and Numerical Simulation, 116, [106867]. https://doi.org/10.1016/j.cnsns.2022.106867apa_pure
dc.identifier.issn1007-5704-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85138154028&doi=10.1016%2fj.cnsns.2022.106867&partnerID=40&md5=810ab0d57c9f9d34c0d58dd0063d809d1
dc.identifier.otherhttps://doi.org/10.1016/j.cnsns.2022.106867pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/130958-
dc.description.abstractThe paper considers a stochastic version of the conceptual map-based Chialvo model of neural activity. Firstly, we focus on the parametric zone where this model exhibits mono- and bistability with coexistence of equilibria and oscillatory spiking attractors forming closed invariant curves. Stochastic effects of excitement and generation of bursting are studied both numerically and analytically by confidence ellipses. A phenomenon of the noise-induced transition to chaos in a localized two-parametric zone is discussed. Besides, we also study the phenomenon of synchronization between neurons by using a two-neuron network with a small coupling. In this scenario, we have found critical values of noise for which we obtain a good performance for the synchronization between the neurons of the network. © 2022 Elsevier B.V.en
dc.description.sponsorshipRussian Science Foundation, RSF: 21-11-00062; European Regional Development Fund, ERDF: PID2019-105554GB-I00; Agencia Estatal de Investigación, AEIen
dc.description.sponsorshipThe work of IB and LR on the analysis of stochastic excitement, generation of mixed-mode oscillations, order-chaos-order transitions, and stochastic sensitivity presented in Sections 2 , 3 has been financially supported by Russian Science Foundation ( 21-11-00062 ).en
dc.description.sponsorshipThe work of JU, JMS and MAFS on the analysis of synchronization presented in Sections 4 , 5 has been financially supported by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERDF) under Project No. PID2019-105554GB-I00.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.relationinfo:eu-repo/grantAgreement/RSF//21-11-00062en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceCommunications in Nonlinear Science and Numerical Simulation2
dc.sourceCommunications in Nonlinear Science and Numerical Simulationen
dc.subjectMAP-BASED NEURON MODELSen
dc.subjectNEURONAL DYNAMICSen
dc.subjectNOISE-INDUCED EFFECTSen
dc.subjectNONLINEAR DYNAMICSen
dc.subjectSYNCHRONIZATIONen
dc.subjectDYNAMICSen
dc.subjectNEURAL NETWORKSen
dc.subjectSTOCHASTIC MODELSen
dc.subjectSTOCHASTIC SYSTEMSen
dc.subjectSYNCHRONIZATIONen
dc.subjectCOMPLEX DYNAMICSen
dc.subjectCOMPLEX SYNCHRONIZATIONen
dc.subjectCONCEPTUAL MAPSen
dc.subjectMAP-BASED NEURON MODELen
dc.subjectNEURAL ACTIVITYen
dc.subjectNEURON MODELINGen
dc.subjectNEURONAL DYNAMICSen
dc.subjectNOISE-INDUCED EFFECTen
dc.subjectPARAMETRIC ZONEen
dc.subjectSTOCHASTICSen
dc.subjectNEURONSen
dc.titleNoise-induced complex dynamics and synchronization in the map-based Chialvo neuron modelen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.type|info:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.cnsns.2022.106867-
dc.identifier.scopus85138154028-
local.contributor.employeeBashkirtseva, I., Institute of Natural Sciences and Mathematics, Ural Federal University, Lenina, 51, Ekaterinburg, 620000, Russian Federationen
local.contributor.employeeRyashko, L., Institute of Natural Sciences and Mathematics, Ural Federal University, Lenina, 51, Ekaterinburg, 620000, Russian Federationen
local.contributor.employeeUsed, J., Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spainen
local.contributor.employeeSeoane, J.M., Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spainen
local.contributor.employeeSanjuán, M.A.F., Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spain, Department of Applied Informatics, Kaunas University of Technology, Studentu 50-415, Kaunas LT, 51368, Lithuaniaen
local.volume116-
dc.identifier.wos000869756200022-
local.contributor.departmentInstitute of Natural Sciences and Mathematics, Ural Federal University, Lenina, 51, Ekaterinburg, 620000, Russian Federationen
local.contributor.departmentNonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spainen
local.contributor.departmentDepartment of Applied Informatics, Kaunas University of Technology, Studentu 50-415, Kaunas LT, 51368, Lithuaniaen
local.identifier.pure30923055-
local.description.order106867-
local.identifier.eid2-s2.0-85138154028-
local.fund.rsf21-11-00062-
local.identifier.wosWOS:000869756200022-
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