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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8575278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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