Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.

Information processing of the cerebellar granular layer composed of granule and Golgi cells is regarded as an important first step toward the cerebellar computation. Our previous theoretical studies have shown that granule cells can exhibit random alternation between burst and silent modes, which pr...

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Autores principales:	Takeru Honda, Tadashi Yamazaki, Shigeru Tanaka, Soichi Nagao, Tetsuro Nishino
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/18e5301dee1644d69595b3926a8ed817
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spelling	oai:doaj.org-article:18e5301dee1644d69595b3926a8ed8172021-11-18T05:50:26ZStimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.1553-734X1553-735810.1371/journal.pcbi.1002087https://doaj.org/article/18e5301dee1644d69595b3926a8ed8172011-07-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21779155/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Information processing of the cerebellar granular layer composed of granule and Golgi cells is regarded as an important first step toward the cerebellar computation. Our previous theoretical studies have shown that granule cells can exhibit random alternation between burst and silent modes, which provides a basis of population representation of the passage-of-time (POT) from the onset of external input stimuli. On the other hand, another computational study has reported that granule cells can exhibit synchronized oscillation of activity, as consistent with observed oscillation in local field potential recorded from the granular layer while animals keep still. Here we have a question of whether an identical network model can explain these distinct dynamics. In the present study, we carried out computer simulations based on a spiking network model of the granular layer varying two parameters: the strength of a current injected to granule cells and the concentration of Mg²⁺ which controls the conductance of NMDA channels assumed on the Golgi cell dendrites. The simulations showed that cells in the granular layer can switch activity states between synchronized oscillation and random burst-silent alternation depending on the two parameters. For higher Mg²⁺ concentration and a weaker injected current, granule and Golgi cells elicited spikes synchronously (synchronized oscillation state). In contrast, for lower Mg²⁺ concentration and a stronger injected current, those cells showed the random burst-silent alternation (POT-representing state). It is suggested that NMDA channels on the Golgi cell dendrites play an important role for determining how the granular layer works in response to external input.Takeru HondaTadashi YamazakiShigeru TanakaSoichi NagaoTetsuro NishinoPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 7, Iss 7, p e1002087 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Takeru Honda Tadashi Yamazaki Shigeru Tanaka Soichi Nagao Tetsuro Nishino Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
description	Information processing of the cerebellar granular layer composed of granule and Golgi cells is regarded as an important first step toward the cerebellar computation. Our previous theoretical studies have shown that granule cells can exhibit random alternation between burst and silent modes, which provides a basis of population representation of the passage-of-time (POT) from the onset of external input stimuli. On the other hand, another computational study has reported that granule cells can exhibit synchronized oscillation of activity, as consistent with observed oscillation in local field potential recorded from the granular layer while animals keep still. Here we have a question of whether an identical network model can explain these distinct dynamics. In the present study, we carried out computer simulations based on a spiking network model of the granular layer varying two parameters: the strength of a current injected to granule cells and the concentration of Mg²⁺ which controls the conductance of NMDA channels assumed on the Golgi cell dendrites. The simulations showed that cells in the granular layer can switch activity states between synchronized oscillation and random burst-silent alternation depending on the two parameters. For higher Mg²⁺ concentration and a weaker injected current, granule and Golgi cells elicited spikes synchronously (synchronized oscillation state). In contrast, for lower Mg²⁺ concentration and a stronger injected current, those cells showed the random burst-silent alternation (POT-representing state). It is suggested that NMDA channels on the Golgi cell dendrites play an important role for determining how the granular layer works in response to external input.
format	article
author	Takeru Honda Tadashi Yamazaki Shigeru Tanaka Soichi Nagao Tetsuro Nishino
author_facet	Takeru Honda Tadashi Yamazaki Shigeru Tanaka Soichi Nagao Tetsuro Nishino
author_sort	Takeru Honda
title	Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
title_short	Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
title_full	Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
title_fullStr	Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
title_full_unstemmed	Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
title_sort	stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/18e5301dee1644d69595b3926a8ed817
work_keys_str_mv	AT takeruhonda stimulusdependentstatetransitionbetweensynchronizedoscillationandrandomlyrepetitiveburstinamodelcerebellargranularlayer AT tadashiyamazaki stimulusdependentstatetransitionbetweensynchronizedoscillationandrandomlyrepetitiveburstinamodelcerebellargranularlayer AT shigerutanaka stimulusdependentstatetransitionbetweensynchronizedoscillationandrandomlyrepetitiveburstinamodelcerebellargranularlayer AT soichinagao stimulusdependentstatetransitionbetweensynchronizedoscillationandrandomlyrepetitiveburstinamodelcerebellargranularlayer AT tetsuronishino stimulusdependentstatetransitionbetweensynchronizedoscillationandrandomlyrepetitiveburstinamodelcerebellargranularlayer
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Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.

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