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Noise-induced structural transformations of oscillatory modes in calcium dynamics. / Ryashko, Lev; Bashkirtseva, Irina.
в: European Physical Journal: Special Topics, Том 232, № 8, 2023, стр. 1253-1259.

Результаты исследований: Вклад в журнал › Статья › Рецензирование

Harvard

Ryashko, L & Bashkirtseva, I 2023, 'Noise-induced structural transformations of oscillatory modes in calcium dynamics', European Physical Journal: Special Topics, Том. 232, № 8, стр. 1253-1259. https://doi.org/10.1140/epjs/s11734-023-00827-3

APA

Ryashko, L., & Bashkirtseva, I. (2023). Noise-induced structural transformations of oscillatory modes in calcium dynamics. European Physical Journal: Special Topics, 232(8), 1253-1259. https://doi.org/10.1140/epjs/s11734-023-00827-3

Vancouver

Ryashko L, Bashkirtseva I. Noise-induced structural transformations of oscillatory modes in calcium dynamics. European Physical Journal: Special Topics. 2023;232(8):1253-1259. doi: 10.1140/epjs/s11734-023-00827-3

Author

Ryashko, Lev ; Bashkirtseva, Irina. / Noise-induced structural transformations of oscillatory modes in calcium dynamics. в: European Physical Journal: Special Topics. 2023 ; Том 232, № 8. стр. 1253-1259.

BibTeX

@article{21ca258cbc624ffcaecfab6b87c67a7e,
title = "Noise-induced structural transformations of oscillatory modes in calcium dynamics",
abstract = "The problem of analyzing the internal mechanisms of structural transformations of non-equilibrium regimes in multi-component biological systems with random fluctuations is considered. Based on the Li–Rinzel model, we study how parametric noise deforms calcium oscillations, which play a key role in cellular processes. The conditions under which random forcing generates or suppresses spiking calcium oscillations are discussed. Parametric analysis of such stochastic transformations of calcium relaxation self-oscillations is carried out using statistics extracted from direct modeling and a new theoretical approach based on the method of confidence domains. {\textcopyright} 2023, The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature.",
author = "Lev Ryashko and Irina Bashkirtseva",
note = "The work was supported by Russian Science Foundation (N 21-11-00062).",
year = "2023",
doi = "10.1140/epjs/s11734-023-00827-3",
language = "English",
volume = "232",
pages = "1253--1259",
journal = "European Physical Journal: Special Topics",
issn = "1951-6355",
publisher = "Springer",
number = "8",

}

RIS

TY - JOUR

T1 - Noise-induced structural transformations of oscillatory modes in calcium dynamics

AU - Ryashko, Lev

AU - Bashkirtseva, Irina

N1 - The work was supported by Russian Science Foundation (N 21-11-00062).

PY - 2023

Y1 - 2023

N2 - The problem of analyzing the internal mechanisms of structural transformations of non-equilibrium regimes in multi-component biological systems with random fluctuations is considered. Based on the Li–Rinzel model, we study how parametric noise deforms calcium oscillations, which play a key role in cellular processes. The conditions under which random forcing generates or suppresses spiking calcium oscillations are discussed. Parametric analysis of such stochastic transformations of calcium relaxation self-oscillations is carried out using statistics extracted from direct modeling and a new theoretical approach based on the method of confidence domains. © 2023, The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature.

AB - The problem of analyzing the internal mechanisms of structural transformations of non-equilibrium regimes in multi-component biological systems with random fluctuations is considered. Based on the Li–Rinzel model, we study how parametric noise deforms calcium oscillations, which play a key role in cellular processes. The conditions under which random forcing generates or suppresses spiking calcium oscillations are discussed. Parametric analysis of such stochastic transformations of calcium relaxation self-oscillations is carried out using statistics extracted from direct modeling and a new theoretical approach based on the method of confidence domains. © 2023, The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85152663424

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000970846000008

U2 - 10.1140/epjs/s11734-023-00827-3

DO - 10.1140/epjs/s11734-023-00827-3

M3 - Article

VL - 232

SP - 1253

EP - 1259

JO - European Physical Journal: Special Topics

JF - European Physical Journal: Special Topics

SN - 1951-6355

IS - 8

ER -

ID: 41555102