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Self-organization of a doubly asynchronous irregular network state for spikes and bursts

Cortical pyramidal cells (PCs) have a specialized dendritic mechanism for the generation of bursts, suggesting that these events play a special role in cortical information processing. In vivo, bursts occur at a low, but consistent rate. Theory suggests that this network state increases the amount o...

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Autores principales: Vercruysse, Filip, Naud, Richard, Sprekeler, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575278/
https://www.ncbi.nlm.nih.gov/pubmed/34748532
http://dx.doi.org/10.1371/journal.pcbi.1009478
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author Vercruysse, Filip
Naud, Richard
Sprekeler, Henning
author_facet Vercruysse, Filip
Naud, Richard
Sprekeler, Henning
author_sort Vercruysse, Filip
collection PubMed
description Cortical pyramidal cells (PCs) have a specialized dendritic mechanism for the generation of bursts, suggesting that these events play a special role in cortical information processing. In vivo, bursts occur at a low, but consistent rate. Theory suggests that this network state increases the amount of information they convey. However, because burst activity relies on a threshold mechanism, it is rather sensitive to dendritic input levels. In spiking network models, network states in which bursts occur rarely are therefore typically not robust, but require fine-tuning. Here, we show that this issue can be solved by a homeostatic inhibitory plasticity rule in dendrite-targeting interneurons that is consistent with experimental data. The suggested learning rule can be combined with other forms of inhibitory plasticity to self-organize a network state in which both spikes and bursts occur asynchronously and irregularly at low rate. Finally, we show that this network state creates the network conditions for a recently suggested multiplexed code and thereby indeed increases the amount of information encoded in bursts.
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spelling pubmed-85752782021-11-09 Self-organization of a doubly asynchronous irregular network state for spikes and bursts Vercruysse, Filip Naud, Richard Sprekeler, Henning PLoS Comput Biol Research Article Cortical pyramidal cells (PCs) have a specialized dendritic mechanism for the generation of bursts, suggesting that these events play a special role in cortical information processing. In vivo, bursts occur at a low, but consistent rate. Theory suggests that this network state increases the amount of information they convey. However, because burst activity relies on a threshold mechanism, it is rather sensitive to dendritic input levels. In spiking network models, network states in which bursts occur rarely are therefore typically not robust, but require fine-tuning. Here, we show that this issue can be solved by a homeostatic inhibitory plasticity rule in dendrite-targeting interneurons that is consistent with experimental data. The suggested learning rule can be combined with other forms of inhibitory plasticity to self-organize a network state in which both spikes and bursts occur asynchronously and irregularly at low rate. Finally, we show that this network state creates the network conditions for a recently suggested multiplexed code and thereby indeed increases the amount of information encoded in bursts. Public Library of Science 2021-11-08 /pmc/articles/PMC8575278/ /pubmed/34748532 http://dx.doi.org/10.1371/journal.pcbi.1009478 Text en © 2021 Vercruysse et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vercruysse, Filip
Naud, Richard
Sprekeler, Henning
Self-organization of a doubly asynchronous irregular network state for spikes and bursts
title Self-organization of a doubly asynchronous irregular network state for spikes and bursts
title_full Self-organization of a doubly asynchronous irregular network state for spikes and bursts
title_fullStr Self-organization of a doubly asynchronous irregular network state for spikes and bursts
title_full_unstemmed Self-organization of a doubly asynchronous irregular network state for spikes and bursts
title_short Self-organization of a doubly asynchronous irregular network state for spikes and bursts
title_sort self-organization of a doubly asynchronous irregular network state for spikes and bursts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575278/
https://www.ncbi.nlm.nih.gov/pubmed/34748532
http://dx.doi.org/10.1371/journal.pcbi.1009478
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