Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/132320
Title: Stochastic generation of bursting oscillations in the spiking region of a 3D neuron model with the Lukyanov-Shilnikov bifurcation
Authors: Slepukhina, E.
Ryashko, L.
Issue Date: 2022
Publisher: American Institute of Physics Inc.
Citation: Slepukhina, 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/10.1063/5.0100926
Slepukhina, 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/10.1063/5.0100926
Abstract: A 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).
URI: http://elar.urfu.ru/handle/10995/132320
Access: info:eu-repo/semantics/openAccess
Conference name: 24 June 2021 through 29 June 2021
Conference date: 13th International Hybrid Conference for Promoting the Application of Mathematics in Technical and Natural Sciences, AMiTaNS 2021
SCOPUS ID: 85140209151
PURE ID: 8b747021-de34-4b08-ba90-5876a5a14e31
31047938
ISSN: 0094-243X
ISBN: 978-073544361-7
DOI: 10.1063/5.0100926
Sponsorship: Russian Science Foundation, RSF, (N 21-11-00062)
The work was supported by Russian Science Foundation (N 21-11-00062).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85140209151.pdf643,72 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.