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Estimating Membrane Resistance over Dendrite Using Markov Random Field
https://ipsj.ixsq.nii.ac.jp/records/85834
https://ipsj.ixsq.nii.ac.jp/records/858346a09cb45-bcb9-44c2-8b97-a2780a154127
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2012 by the Information Processing Society of Japan
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Item type | Trans(1) | |||||||
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公開日 | 2012-09-28 | |||||||
タイトル | ||||||||
タイトル | Estimating Membrane Resistance over Dendrite Using Markov Random Field | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Estimating Membrane Resistance over Dendrite Using Markov Random Field | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | [オリジナル論文] dendrite, membrane resistance, Markov random field, cable equation, membrane potential imaging | |||||||
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 | |||||||
著者所属 | ||||||||
Graduate School of Frontier Sciences, The University of Tokyo | ||||||||
著者所属 | ||||||||
Graduate School of Engineering, Kobe University/RIKEN Brain Science Institute | ||||||||
著者所属 | ||||||||
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology | ||||||||
著者所属 | ||||||||
Graduate School of Frontier Sciences, The University of Tokyo/RIKEN Brain Science Institute | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Graduate School of Frontier Sciences, The University of Tokyo | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Graduate School of Engineering, Kobe University/RIKEN Brain Science Institute | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology | ||||||||
著者所属(英) | ||||||||
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Graduate School of Frontier Sciences, The University of Tokyo/RIKEN Brain Science Institute | ||||||||
著者名 |
Jun, Kitazono
× Jun, Kitazono
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著者名(英) |
Jun, Kitazono
× Jun, Kitazono
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | With developments in optical imaging over the past decade, statistical methods for estimating dendritic membrane resistance from observed noisy signals have been proposed. In most of previous studies, membrane resistance over a dendritic tree was assumed to be constant, or membrane resistance at a point rather than that over a dendrite was investigated. Membrane resistance, however, is actually not constant over a dendrite. In a previous study, a method was proposed in which membrane resistance value is expressed as a non-constant function of position on dendrite, and parameters of the function are estimated. Although this method is effective, it is applicable only when the appropriate function is known. We propose a statistical method, which does not express membrane resistance as a function of position on dendrite, for estimating membrane resistance over a dendrite from observed membrane potentials. We use the Markov random field (MRF) as a prior distribution of the membrane resistance. In the MRF, membrane resistance is not expressed as a function of position on dendrite, but is assumed to be smoothly varying along a dendrite. We apply our method to synthetic data to evaluate its efficacy, and show that even when we do not know the appropriate function, our method can accurately estimate the membrane resistance. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | With developments in optical imaging over the past decade, statistical methods for estimating dendritic membrane resistance from observed noisy signals have been proposed. In most of previous studies, membrane resistance over a dendritic tree was assumed to be constant, or membrane resistance at a point rather than that over a dendrite was investigated. Membrane resistance, however, is actually not constant over a dendrite. In a previous study, a method was proposed in which membrane resistance value is expressed as a non-constant function of position on dendrite, and parameters of the function are estimated. Although this method is effective, it is applicable only when the appropriate function is known. We propose a statistical method, which does not express membrane resistance as a function of position on dendrite, for estimating membrane resistance over a dendrite from observed membrane potentials. We use the Markov random field (MRF) as a prior distribution of the membrane resistance. In the MRF, membrane resistance is not expressed as a function of position on dendrite, but is assumed to be smoothly varying along a dendrite. We apply our method to synthetic data to evaluate its efficacy, and show that even when we do not know the appropriate function, our method can accurately estimate the membrane resistance. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA11464803 | |||||||
書誌情報 |
情報処理学会論文誌数理モデル化と応用(TOM)] 巻 5, 号 3, p. 89-94, 発行日 2012-09-28 |
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収録物識別子 | 1882-7780 | |||||||
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言語 | ja | |||||||
出版者 | 情報処理学会 |