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Optimal Balance of the Striatal Medium Spiny Neuron Network
https://oist.repo.nii.ac.jp/records/1556
https://oist.repo.nii.ac.jp/records/1556fa4191b8-73ee-4d66-a8df-c1d5f0eb75e4
名前 / ファイル | ライセンス | アクション |
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journal.pcbi.1002954 (716.6 kB)
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Creative Commons Attribution License
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-06-23 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Optimal Balance of the Striatal Medium Spiny Neuron Network | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Ponzi, Adam
× Ponzi, Adam× Wickens, Jeffery R. |
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書誌情報 |
en : PLoS Computational Biology 巻 9, 号 4, p. e1002954, 発行日 2013-04-11 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Slowly varying activity in the striatum, the main Basal Ganglia input structure, is important for the learning and execution of movement sequences. Striatal medium spiny neurons (MSNs) form cell assemblies whose population firing rates vary coherently on slow behaviourally relevant timescales. It has been shown that such activity emerges in a model of a local MSN network but only at realistic connectivities of 10 ~ 20% and only when MSN generated inhibitory post-synaptic potentials (IPSPs) are realistically sized. Here we suggest a reason for this. We investigate how MSN network generated population activity interacts with temporally varying cortical driving activity, as would occur in a behavioural task. We find that at unrealistically high connectivity a stable winners-take-all type regime is found where network activity separates into fixed stimulus dependent regularly firing and quiescent components. In this regime only a small number of population firing rate components interact with cortical stimulus variations. Around 15% connectivity a transition to a more dynamically active regime occurs where all cells constantly switch between activity and quiescence. In this low connectivity regime, MSN population components wander randomly and here too are independent of variations in cortical driving. Only in the transition regime do weak changes in cortical driving interact with many population components so that sequential cell assemblies are reproducibly activated for many hundreds of milliseconds after stimulus onset and peri-stimulus time histograms display strong stimulus and temporal specificity. We show that, remarkably, this activity is maximized at striatally realistic connectivities and IPSP sizes. Thus, we suggest the local MSN network has optimal characteristics - it is neither too stable to respond in a dynamically complex temporally extended way to cortical variations, nor is it too unstable to respond in a consistent repeatable way. Rather, it is optimized to generate stimulus dependent activity patterns for long periods after variations in cortical excitation. | |||||
出版者 | ||||||
出版者 | Public Library of Science | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1553-7358 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1553-734X | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/23592954 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1371/journal.pcbi.1002954 | |||||
権利 | ||||||
権利情報 | © 2013 Ponzi and Wickens. | |||||
権利 | ||||||
権利情報 | This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002954 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |