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  1. 論文誌(トランザクション)
  2. 数理モデル化と応用(TOM)
  3. Vol.5
  4. No.3

Estimating Membrane Resistance over Dendrite Using Markov Random Field

https://ipsj.ixsq.nii.ac.jp/records/85834
https://ipsj.ixsq.nii.ac.jp/records/85834
6a09cb45-bcb9-44c2-8b97-a2780a154127
名前 / ファイル ライセンス アクション
IPSJ-TOM0503010.pdf IPSJ-TOM0503010.pdf (264.4 kB)
Copyright (c) 2012 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
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)
en
Graduate School of Frontier Sciences, The University of Tokyo/RIKEN Brain Science Institute
著者名 Jun, Kitazono Toshiaki, Omori Toru, Aonishi Masato, Okada

× Jun, Kitazono Toshiaki, Omori Toru, Aonishi Masato, Okada

Jun, Kitazono
Toshiaki, Omori
Toru, Aonishi
Masato, Okada

Search repository
著者名(英) Jun, Kitazono Toshiaki, Omori Toru, Aonishi Masato, Okada

× Jun, Kitazono Toshiaki, Omori Toru, Aonishi Masato, Okada

en Jun, Kitazono
Toshiaki, Omori
Toru, Aonishi
Masato, Okada

Search repository
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
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7780
出版者
言語 ja
出版者 情報処理学会
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