Self-organized criticality in developing neuronal networks.

Recently evidence has accumulated that many neural networks exhibit self-organized criticality. In this state, activity is similar across temporal scales and this is beneficial with respect to information flow. If subcritical, activity can die out, if supercritical epileptiform patterns may occur. L...

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Autores principales:	Christian Tetzlaff, Samora Okujeni, Ulrich Egert, Florentin Wörgötter, Markus Butz
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/3a19de83bbc5452794cb50eaafa97b81
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spelling	oai:doaj.org-article:3a19de83bbc5452794cb50eaafa97b812021-11-18T05:50:50ZSelf-organized criticality in developing neuronal networks.1553-734X1553-735810.1371/journal.pcbi.1001013https://doaj.org/article/3a19de83bbc5452794cb50eaafa97b812010-12-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21152008/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Recently evidence has accumulated that many neural networks exhibit self-organized criticality. In this state, activity is similar across temporal scales and this is beneficial with respect to information flow. If subcritical, activity can die out, if supercritical epileptiform patterns may occur. Little is known about how developing networks will reach and stabilize criticality. Here we monitor the development between 13 and 95 days in vitro (DIV) of cortical cell cultures (n = 20) and find four different phases, related to their morphological maturation: An initial low-activity state (≈19 DIV) is followed by a supercritical (≈20 DIV) and then a subcritical one (≈36 DIV) until the network finally reaches stable criticality (≈58 DIV). Using network modeling and mathematical analysis we describe the dynamics of the emergent connectivity in such developing systems. Based on physiological observations, the synaptic development in the model is determined by the drive of the neurons to adjust their connectivity for reaching on average firing rate homeostasis. We predict a specific time course for the maturation of inhibition, with strong onset and delayed pruning, and that total synaptic connectivity should be strongly linked to the relative levels of excitation and inhibition. These results demonstrate that the interplay between activity and connectivity guides developing networks into criticality suggesting that this may be a generic and stable state of many networks in vivo and in vitro.Christian TetzlaffSamora OkujeniUlrich EgertFlorentin WörgötterMarkus ButzPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 12, p e1001013 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Christian Tetzlaff Samora Okujeni Ulrich Egert Florentin Wörgötter Markus Butz Self-organized criticality in developing neuronal networks.
description	Recently evidence has accumulated that many neural networks exhibit self-organized criticality. In this state, activity is similar across temporal scales and this is beneficial with respect to information flow. If subcritical, activity can die out, if supercritical epileptiform patterns may occur. Little is known about how developing networks will reach and stabilize criticality. Here we monitor the development between 13 and 95 days in vitro (DIV) of cortical cell cultures (n = 20) and find four different phases, related to their morphological maturation: An initial low-activity state (≈19 DIV) is followed by a supercritical (≈20 DIV) and then a subcritical one (≈36 DIV) until the network finally reaches stable criticality (≈58 DIV). Using network modeling and mathematical analysis we describe the dynamics of the emergent connectivity in such developing systems. Based on physiological observations, the synaptic development in the model is determined by the drive of the neurons to adjust their connectivity for reaching on average firing rate homeostasis. We predict a specific time course for the maturation of inhibition, with strong onset and delayed pruning, and that total synaptic connectivity should be strongly linked to the relative levels of excitation and inhibition. These results demonstrate that the interplay between activity and connectivity guides developing networks into criticality suggesting that this may be a generic and stable state of many networks in vivo and in vitro.
format	article
author	Christian Tetzlaff Samora Okujeni Ulrich Egert Florentin Wörgötter Markus Butz
author_facet	Christian Tetzlaff Samora Okujeni Ulrich Egert Florentin Wörgötter Markus Butz
author_sort	Christian Tetzlaff
title	Self-organized criticality in developing neuronal networks.
title_short	Self-organized criticality in developing neuronal networks.
title_full	Self-organized criticality in developing neuronal networks.
title_fullStr	Self-organized criticality in developing neuronal networks.
title_full_unstemmed	Self-organized criticality in developing neuronal networks.
title_sort	self-organized criticality in developing neuronal networks.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/3a19de83bbc5452794cb50eaafa97b81
work_keys_str_mv	AT christiantetzlaff selforganizedcriticalityindevelopingneuronalnetworks AT samoraokujeni selforganizedcriticalityindevelopingneuronalnetworks AT ulrichegert selforganizedcriticalityindevelopingneuronalnetworks AT florentinworgotter selforganizedcriticalityindevelopingneuronalnetworks AT markusbutz selforganizedcriticalityindevelopingneuronalnetworks
_version_	1718424779690606592

Self-organized criticality in developing neuronal networks.

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