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Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks

Gamma rhythms play a major role in many different processes in the brain, such as attention, working memory, and sensory processing. While typically considered detrimental, counterintuitively noise can sometimes have beneficial effects on communication and information transfer. Recently, Meng and Ri...

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Autores principales: Rebscher, Lucas, Obermayer, Klaus, Metzner, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855529/
https://www.ncbi.nlm.nih.gov/pubmed/35185505
http://dx.doi.org/10.3389/fncom.2022.825865
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author Rebscher, Lucas
Obermayer, Klaus
Metzner, Christoph
author_facet Rebscher, Lucas
Obermayer, Klaus
Metzner, Christoph
author_sort Rebscher, Lucas
collection PubMed
description Gamma rhythms play a major role in many different processes in the brain, such as attention, working memory, and sensory processing. While typically considered detrimental, counterintuitively noise can sometimes have beneficial effects on communication and information transfer. Recently, Meng and Riecke showed that synchronization of interacting networks of inhibitory neurons in the gamma band (i.e., gamma generated through an ING mechanism) increases while synchronization within these networks decreases when neurons are subject to uncorrelated noise. However, experimental and modeling studies point towardz an important role of the pyramidal-interneuronal network gamma (PING) mechanism in the cortex. Therefore, we investigated the effect of uncorrelated noise on the communication between excitatory-inhibitory networks producing gamma oscillations via a PING mechanism. Our results suggest that, at least in a certain range of noise strengths and natural frequency differences between the regions, synaptic noise can have a supporting role in facilitating inter-regional communication, similar to the ING case for a slightly larger parameter range. Furthermore, the noise-induced synchronization between networks is generated via a different mechanism than when synchronization is mediated by strong synaptic coupling. Noise-induced synchronization is achieved by lowering synchronization within networks which allows the respective other network to impose its own gamma rhythm resulting in synchronization between networks.
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spelling pubmed-88555292022-02-19 Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks Rebscher, Lucas Obermayer, Klaus Metzner, Christoph Front Comput Neurosci Neuroscience Gamma rhythms play a major role in many different processes in the brain, such as attention, working memory, and sensory processing. While typically considered detrimental, counterintuitively noise can sometimes have beneficial effects on communication and information transfer. Recently, Meng and Riecke showed that synchronization of interacting networks of inhibitory neurons in the gamma band (i.e., gamma generated through an ING mechanism) increases while synchronization within these networks decreases when neurons are subject to uncorrelated noise. However, experimental and modeling studies point towardz an important role of the pyramidal-interneuronal network gamma (PING) mechanism in the cortex. Therefore, we investigated the effect of uncorrelated noise on the communication between excitatory-inhibitory networks producing gamma oscillations via a PING mechanism. Our results suggest that, at least in a certain range of noise strengths and natural frequency differences between the regions, synaptic noise can have a supporting role in facilitating inter-regional communication, similar to the ING case for a slightly larger parameter range. Furthermore, the noise-induced synchronization between networks is generated via a different mechanism than when synchronization is mediated by strong synaptic coupling. Noise-induced synchronization is achieved by lowering synchronization within networks which allows the respective other network to impose its own gamma rhythm resulting in synchronization between networks. Frontiers Media S.A. 2022-02-04 /pmc/articles/PMC8855529/ /pubmed/35185505 http://dx.doi.org/10.3389/fncom.2022.825865 Text en Copyright © 2022 Rebscher, Obermayer and Metzner. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Rebscher, Lucas
Obermayer, Klaus
Metzner, Christoph
Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
title Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
title_full Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
title_fullStr Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
title_full_unstemmed Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
title_short Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
title_sort synchronization through uncorrelated noise in excitatory-inhibitory networks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855529/
https://www.ncbi.nlm.nih.gov/pubmed/35185505
http://dx.doi.org/10.3389/fncom.2022.825865
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