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dc.contributor.authorSlepukhina, E.en
dc.contributor.authorRyashko, L.en
dc.date.accessioned2024-04-22T15:52:31Z-
dc.date.available2024-04-22T15:52:31Z-
dc.date.issued2022-
dc.identifier.citationSlepukhina, E & Ryashko, L 2022, Stochastic generation of bursting oscillations in the spiking region of a 3D neuron model with the Lukyanov-Shilnikov bifurcation. в MD Todorov (ред.), Application of Mathematics in Technical and Natural Sciences - 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021., 050012, AIP Conference Proceedings, Том. 2522, American Institute of Physics Inc., 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021, Albena, Болгария, 24/06/2021. https://doi.org/10.1063/5.0100926harvard_pure
dc.identifier.citationSlepukhina, E., & Ryashko, L. (2022). Stochastic generation of bursting oscillations in the spiking region of a 3D neuron model with the Lukyanov-Shilnikov bifurcation. в M. D. Todorov (Ред.), Application of Mathematics in Technical and Natural Sciences - 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021 [050012] (AIP Conference Proceedings; Том 2522). American Institute of Physics Inc.. https://doi.org/10.1063/5.0100926apa_pure
dc.identifier.isbn978-073544361-7
dc.identifier.issn0094-243X
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Bronze Open Access3
dc.identifier.otherhttps://aip.scitation.org/doi/pdf/10.1063/5.01009261
dc.identifier.otherhttps://aip.scitation.org/doi/pdf/10.1063/5.0100926pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132320-
dc.description.abstractA stochastic three-dimensional neuron model with the Lukyanov-Shilnikov bifurcation is studied. We show that in the parameter region where the deterministic system exhibits tonic spiking regime with a single stable limit cycle, noise can induce bursting activity. This stochastic phenomenon is confirmed by changes in spacial and temporal characteristics of oscillations. The probabilistic mechanism of the stochastic generation of bursting is studied by means of the stochastic sensitivity functions and Mahalanobis metrics. © 2022 Author(s).en
dc.description.sponsorshipRussian Science Foundation, RSF, (N 21-11-00062)en
dc.description.sponsorshipThe work was supported by Russian Science Foundation (N 21-11-00062).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAmerican Institute of Physics Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAPPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’212
dc.sourceAIP Conference Proceedingsen
dc.titleStochastic generation of bursting oscillations in the spiking region of a 3D neuron model with the Lukyanov-Shilnikov bifurcationen
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name24 June 2021 through 29 June 2021en
dc.conference.date13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021
dc.identifier.doi10.1063/5.0100926-
dc.identifier.scopus85140209151-
local.contributor.employeeSlepukhina E., Institute of Applied Mathematics and Statistics, University of Hohenheim, Schloss Hohenheim 1, Stuttgart, 70599, Germanyen
local.contributor.employeeRyashko L., Ural Federal University, 51 Lenin str, Ekaterinburg, 620083, Russian Federationen
local.volume2522
local.contributor.departmentInstitute of Applied Mathematics and Statistics, University of Hohenheim, Schloss Hohenheim 1, Stuttgart, 70599, Germanyen
local.contributor.departmentUral Federal University, 51 Lenin str, Ekaterinburg, 620083, Russian Federationen
local.identifier.pure8b747021-de34-4b08-ba90-5876a5a14e31uuid
local.identifier.pure31047938-
local.description.order50012
local.identifier.eid2-s2.0-85140209151-
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