Bifurcations of emergent bursting in a neuronal network.

Complex neuronal networks are an important tool to help explain paradoxical phenomena observed in biological recordings. Here we present a general approach to mathematically tackle a complex neuronal network so that we can fully understand the underlying mechanisms. Using a previously developed netw...

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Autores principales:	Yu Wu, Wenlian Lu, Wei Lin, Gareth Leng, Jianfeng Feng
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1bbb613bde4848ba87f376878b67d247
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spelling	oai:doaj.org-article:1bbb613bde4848ba87f376878b67d2472021-11-18T07:16:05ZBifurcations of emergent bursting in a neuronal network.1932-620310.1371/journal.pone.0038402https://doaj.org/article/1bbb613bde4848ba87f376878b67d2472012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22685566/?tool=EBIhttps://doaj.org/toc/1932-6203Complex neuronal networks are an important tool to help explain paradoxical phenomena observed in biological recordings. Here we present a general approach to mathematically tackle a complex neuronal network so that we can fully understand the underlying mechanisms. Using a previously developed network model of the milk-ejection reflex in oxytocin cells, we show how we can reduce a complex model with many variables and complex network topologies to a tractable model with two variables, while retaining all key qualitative features of the original model. The approach enables us to uncover how emergent synchronous bursting can arise from a neuronal network which embodies known biological features. Surprisingly, the bursting mechanisms are similar to those found in other systems reported in the literature, and illustrate a generic way to exhibit emergent and multiple time scale oscillations at the membrane potential level and the firing rate level.Yu WuWenlian LuWei LinGareth LengJianfeng FengPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e38402 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yu Wu Wenlian Lu Wei Lin Gareth Leng Jianfeng Feng Bifurcations of emergent bursting in a neuronal network.
description	Complex neuronal networks are an important tool to help explain paradoxical phenomena observed in biological recordings. Here we present a general approach to mathematically tackle a complex neuronal network so that we can fully understand the underlying mechanisms. Using a previously developed network model of the milk-ejection reflex in oxytocin cells, we show how we can reduce a complex model with many variables and complex network topologies to a tractable model with two variables, while retaining all key qualitative features of the original model. The approach enables us to uncover how emergent synchronous bursting can arise from a neuronal network which embodies known biological features. Surprisingly, the bursting mechanisms are similar to those found in other systems reported in the literature, and illustrate a generic way to exhibit emergent and multiple time scale oscillations at the membrane potential level and the firing rate level.
format	article
author	Yu Wu Wenlian Lu Wei Lin Gareth Leng Jianfeng Feng
author_facet	Yu Wu Wenlian Lu Wei Lin Gareth Leng Jianfeng Feng
author_sort	Yu Wu
title	Bifurcations of emergent bursting in a neuronal network.
title_short	Bifurcations of emergent bursting in a neuronal network.
title_full	Bifurcations of emergent bursting in a neuronal network.
title_fullStr	Bifurcations of emergent bursting in a neuronal network.
title_full_unstemmed	Bifurcations of emergent bursting in a neuronal network.
title_sort	bifurcations of emergent bursting in a neuronal network.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/1bbb613bde4848ba87f376878b67d247
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Bifurcations of emergent bursting in a neuronal network.

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