Stimulus-dependent synchronization in delayed-coupled neuronal networks

Time delay is a general feature of all interactions. Although the effects of delayed interaction are often neglected when the intrinsic dynamics is much slower than the coupling delay, they can be crucial otherwise. We show that delayed coupled neuronal networks support transitions between synchrono...

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Main Authors: Esfahani, Zahra G., Gollo, Leonardo L., Valizadeh, Alireza
Format: Online
Language:English
Published: Nature Publishing Group 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802300/
id pubmed-4802300
recordtype oai_dc
spelling pubmed-48023002016-03-23 Stimulus-dependent synchronization in delayed-coupled neuronal networks Esfahani, Zahra G. Gollo, Leonardo L. Valizadeh, Alireza Article Time delay is a general feature of all interactions. Although the effects of delayed interaction are often neglected when the intrinsic dynamics is much slower than the coupling delay, they can be crucial otherwise. We show that delayed coupled neuronal networks support transitions between synchronous and asynchronous states when the level of input to the network changes. The level of input determines the oscillation period of neurons and hence whether time-delayed connections are synchronizing or desynchronizing. We find that synchronizing connections lead to synchronous dynamics, whereas desynchronizing connections lead to out-of-phase oscillations in network motifs and to frustrated states with asynchronous dynamics in large networks. Since the impact of a neuronal network to downstream neurons increases when spikes are synchronous, networks with delayed connections can serve as gatekeeper layers mediating the firing transfer to other regions. This mechanism can regulate the opening and closing of communicating channels between cortical layers on demand. Nature Publishing Group 2016-03-22 /pmc/articles/PMC4802300/ /pubmed/27001428 http://dx.doi.org/10.1038/srep23471 Text en Copyright © 2016, 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/
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Esfahani, Zahra G.
Gollo, Leonardo L.
Valizadeh, Alireza
spellingShingle Esfahani, Zahra G.
Gollo, Leonardo L.
Valizadeh, Alireza
Stimulus-dependent synchronization in delayed-coupled neuronal networks
author_facet Esfahani, Zahra G.
Gollo, Leonardo L.
Valizadeh, Alireza
author_sort Esfahani, Zahra G.
title Stimulus-dependent synchronization in delayed-coupled neuronal networks
title_short Stimulus-dependent synchronization in delayed-coupled neuronal networks
title_full Stimulus-dependent synchronization in delayed-coupled neuronal networks
title_fullStr Stimulus-dependent synchronization in delayed-coupled neuronal networks
title_full_unstemmed Stimulus-dependent synchronization in delayed-coupled neuronal networks
title_sort stimulus-dependent synchronization in delayed-coupled neuronal networks
description Time delay is a general feature of all interactions. Although the effects of delayed interaction are often neglected when the intrinsic dynamics is much slower than the coupling delay, they can be crucial otherwise. We show that delayed coupled neuronal networks support transitions between synchronous and asynchronous states when the level of input to the network changes. The level of input determines the oscillation period of neurons and hence whether time-delayed connections are synchronizing or desynchronizing. We find that synchronizing connections lead to synchronous dynamics, whereas desynchronizing connections lead to out-of-phase oscillations in network motifs and to frustrated states with asynchronous dynamics in large networks. Since the impact of a neuronal network to downstream neurons increases when spikes are synchronous, networks with delayed connections can serve as gatekeeper layers mediating the firing transfer to other regions. This mechanism can regulate the opening and closing of communicating channels between cortical layers on demand.
publisher Nature Publishing Group
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802300/
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