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:	Filip Vercruysse, Richard Naud, Henning Sprekeler
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/c500c81414c54d8f817bbcd9b4ab0ee5
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id	oai:doaj.org-article:c500c81414c54d8f817bbcd9b4ab0ee5
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spelling	oai:doaj.org-article:c500c81414c54d8f817bbcd9b4ab0ee52021-12-02T19:57:36ZSelf-organization of a doubly asynchronous irregular network state for spikes and bursts.1553-734X1553-735810.1371/journal.pcbi.1009478https://doaj.org/article/c500c81414c54d8f817bbcd9b4ab0ee52021-11-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009478https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Cortical 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.Filip VercruysseRichard NaudHenning SprekelerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 11, p e1009478 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Filip Vercruysse Richard Naud Henning Sprekeler Self-organization of a doubly asynchronous irregular network state for spikes and bursts.
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	article
author	Filip Vercruysse Richard Naud Henning Sprekeler
author_facet	Filip Vercruysse Richard Naud Henning Sprekeler
author_sort	Filip Vercruysse
title	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_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_sort	self-organization of a doubly asynchronous irregular network state for spikes and bursts.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/c500c81414c54d8f817bbcd9b4ab0ee5
work_keys_str_mv	AT filipvercruysse selforganizationofadoublyasynchronousirregularnetworkstateforspikesandbursts AT richardnaud selforganizationofadoublyasynchronousirregularnetworkstateforspikesandbursts AT henningsprekeler selforganizationofadoublyasynchronousirregularnetworkstateforspikesandbursts
_version_	1718375802498711552

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

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