Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance

  • Oscillations play a critical role in cognitive phenomena and have been observed in many brain regions. Experimental evidence indicates that classes of neurons exhibit properties that could promote oscillations, such as subthreshold resonance and electrical gap junctions. Typically, these two properties are studied separately but it is not clear which is the dominant determinant of global network rhythms. Our aim is to provide an analytical understanding of how these two effects destabilize the fluctuation-driven state, in which neurons fire irregularly, and lead to an emergence of global synchronous oscillations. Here we show how the oscillation frequency is shaped by single neuron resonance, electrical and chemical synapses.The presence of both gap junctions and subthreshold resonance are necessary for the emergence of oscillations. Our results are in agreement with several experimental observations such as network responses to oscillatory inputs and offer a much-needed conceptual link connecting a collection of disparate effects observed in networks.

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Metadaten
Author:Tatjana TchumatchenkoORCiD, Claudia Clopath
URN:urn:nbn:de:hebis:30:3-380535
DOI:https://doi.org/10.1038/ncomms6512
ISSN:2041-1723
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/25405458
Parent Title (English):Nature Communications
Publisher:Nature Publishing Group
Place of publication:London
Document Type:Article
Language:English
Date of Publication (online):2014/11/18
Date of first Publication:2014/11/18
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2015/08/06
Volume:5
Issue:5512
Page Number:9
First Page:1
Last Page:9
Note:
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/
HeBIS-PPN:370291573
Institutes:Physik / Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0