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Stabilizing synchrony by inhomogeneity

We show that for two weakly coupled identical neuronal oscillators with strictly positive phase resetting curve, isochronous synchrony can only be seen in the absence of noise and an arbitrarily weak noise can destroy entrainment and generate intermittent phase slips. Small inhomogeneity–mismatch in...

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Detalles Bibliográficos
Autores principales: Bolhasani, Ehsan, Valizadeh, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559804/
https://www.ncbi.nlm.nih.gov/pubmed/26338691
http://dx.doi.org/10.1038/srep13854
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author Bolhasani, Ehsan
Valizadeh, Alireza
author_facet Bolhasani, Ehsan
Valizadeh, Alireza
author_sort Bolhasani, Ehsan
collection PubMed
description We show that for two weakly coupled identical neuronal oscillators with strictly positive phase resetting curve, isochronous synchrony can only be seen in the absence of noise and an arbitrarily weak noise can destroy entrainment and generate intermittent phase slips. Small inhomogeneity–mismatch in the intrinsic firing rate of the neurons–can stabilize the phase locking and lead to more precise relative spike timing of the two neurons. The results can explain how for a class of neuronal models, including leaky integrate-fire model, inhomogeneity can increase correlation of spike trains when the neurons are synaptically connected.
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spelling pubmed-45598042015-09-11 Stabilizing synchrony by inhomogeneity Bolhasani, Ehsan Valizadeh, Alireza Sci Rep Article We show that for two weakly coupled identical neuronal oscillators with strictly positive phase resetting curve, isochronous synchrony can only be seen in the absence of noise and an arbitrarily weak noise can destroy entrainment and generate intermittent phase slips. Small inhomogeneity–mismatch in the intrinsic firing rate of the neurons–can stabilize the phase locking and lead to more precise relative spike timing of the two neurons. The results can explain how for a class of neuronal models, including leaky integrate-fire model, inhomogeneity can increase correlation of spike trains when the neurons are synaptically connected. Nature Publishing Group 2015-09-04 /pmc/articles/PMC4559804/ /pubmed/26338691 http://dx.doi.org/10.1038/srep13854 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Bolhasani, Ehsan
Valizadeh, Alireza
Stabilizing synchrony by inhomogeneity
title Stabilizing synchrony by inhomogeneity
title_full Stabilizing synchrony by inhomogeneity
title_fullStr Stabilizing synchrony by inhomogeneity
title_full_unstemmed Stabilizing synchrony by inhomogeneity
title_short Stabilizing synchrony by inhomogeneity
title_sort stabilizing synchrony by inhomogeneity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559804/
https://www.ncbi.nlm.nih.gov/pubmed/26338691
http://dx.doi.org/10.1038/srep13854
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