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Inferring the phase response curve from observation of a continuously perturbed oscillator

Phase response curves are important for analysis and modeling of oscillatory dynamics in various applications, particularly in neuroscience. Standard experimental technique for determining them requires isolation of the system and application of a specifically designed input. However, isolation is n...

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Detalles Bibliográficos
Autores principales: Cestnik, Rok, Rosenblum, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134126/
https://www.ncbi.nlm.nih.gov/pubmed/30206301
http://dx.doi.org/10.1038/s41598-018-32069-y
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author Cestnik, Rok
Rosenblum, Michael
author_facet Cestnik, Rok
Rosenblum, Michael
author_sort Cestnik, Rok
collection PubMed
description Phase response curves are important for analysis and modeling of oscillatory dynamics in various applications, particularly in neuroscience. Standard experimental technique for determining them requires isolation of the system and application of a specifically designed input. However, isolation is not always feasible and we are compelled to observe the system in its natural environment under free-running conditions. To that end we propose an approach relying only on passive observations of the system and its input. We illustrate it with simulation results of an oscillator driven by a stochastic force.
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spelling pubmed-61341262018-09-15 Inferring the phase response curve from observation of a continuously perturbed oscillator Cestnik, Rok Rosenblum, Michael Sci Rep Article Phase response curves are important for analysis and modeling of oscillatory dynamics in various applications, particularly in neuroscience. Standard experimental technique for determining them requires isolation of the system and application of a specifically designed input. However, isolation is not always feasible and we are compelled to observe the system in its natural environment under free-running conditions. To that end we propose an approach relying only on passive observations of the system and its input. We illustrate it with simulation results of an oscillator driven by a stochastic force. Nature Publishing Group UK 2018-09-11 /pmc/articles/PMC6134126/ /pubmed/30206301 http://dx.doi.org/10.1038/s41598-018-32069-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Cestnik, Rok
Rosenblum, Michael
Inferring the phase response curve from observation of a continuously perturbed oscillator
title Inferring the phase response curve from observation of a continuously perturbed oscillator
title_full Inferring the phase response curve from observation of a continuously perturbed oscillator
title_fullStr Inferring the phase response curve from observation of a continuously perturbed oscillator
title_full_unstemmed Inferring the phase response curve from observation of a continuously perturbed oscillator
title_short Inferring the phase response curve from observation of a continuously perturbed oscillator
title_sort inferring the phase response curve from observation of a continuously perturbed oscillator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134126/
https://www.ncbi.nlm.nih.gov/pubmed/30206301
http://dx.doi.org/10.1038/s41598-018-32069-y
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