Yamanobe Takanobu

Faculty of Medicine　Physiological Science　PhysiologyAssistant Professor
Last Updated :2025/06/07

■Researcher basic information

Researchmap personal page

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J-Global ID

Research Keyword

  • 包括脳ネットワーク
  • 神経細胞
  • 同期現象
  • ニューラルコーディング
  • 情報符号化
  • ノイズ
  • 信頼性

Research Field

  • Life sciences, Biophysics

Educational Organization

■Career

Career

  • Oct. 2008
    科学技術振興機構 さきがけ「生命現象の革新モデルと展開」, 兼任研究者
  • Apr. 2007
    Hokkaido University, Graduate School of Medicine, 助教
  • 2003 - 2006
    北海道大学 医学(系)研究科(研究院), 助手
  • 2006
    Hokkaido University, Graduate School of Medicine, 助手
  • 2004 - 2005
    北海道大学 大学院, 助手・医学研究科

■Research activity information

Papers

Other Activities and Achievements

  • Stochastic phase transition operator (vol 84, 011924, 2011)
    Takanobu Yamanobe, PHYSICAL REVIEW E, 88, 1, Jul. 2013
    English, Others
  • Dynamics of oscillating squid giant axons in response to periodically modulating impulses and modeling analysis
    Takanobu Yamanobe, JOURNAL OF PHYSIOLOGICAL SCIENCES, 63, S189, S189, 2013
    English, Summary international conference
  • Relation Between the Information Carrier in Nervous Systems and the Dependence of a Neuron Model Behavior on the Past Activity
    Takanobu Yamanobe, BIOPHYSICAL JOURNAL, 102, 3, 546A, 546A, Jan. 2012
    English, Summary international conference
  • A Mathematical Model of the Crustacean Stretch Receptor
    TAKEUCHI Eiji, YAMANOBE Takanobu, PAKDAMAN Khashayar, NOMURA Taishin, SATO Shunsuke, IEICE technical report. ME and bio cybernetics, 98, 94, 85, 92, 29 May 1998
    When the receptor muscle of a stretch receptor organ of crustacean is stretched, a generator potential and an action potential are generated at the dendrite and the initial segment of the organ, respectively. In the present work, we analize a model for the generation of receptor potential proposed by Swerup (1996) and the one for the action potential by Edman(1987). These models are combined together and used to explain an experimental result on crayfish by Vibert(1979), suggesting that the combined model works satisfactorily., The Institute of Electronics, Information and Communication Engineers, Japanese
  • Nonlinear dynamics of crustacean stretch receptor organs model
    YAMANOBE Takanobu, PAKDAMAN K., NOMURA Taishin, SATO Shunsuke, IEICE technical report. ME and bio cybernetics, 98, 94, 93, 100, 29 May 1998
    The dynamics of slowly and fast adapting stretch recetor organ models is investigated. Each model is based on permeabitily of ion currents and is seven veriables model. The models reproduce the spike discharge of the crayfish stretch receptor organs to a single pulse input, step current input and excessive constant current input. We show that the models can be reduced until three variables. We analyze the dynamics of the three variables models by using bifurcation theory. Based on the analysis, we compare the dynamics of slowly adapting stretch receptor organ and that of fast adapting stretch receptor organ., The Institute of Electronics, Information and Communication Engineers, English
  • The response of a pacemaker neuron model to transient input
    YAMANOBE Takanobu, PAKDAMAN Khashayar, NOMURA Taishin, SATO Shunsuke, 生体・生理工学シンポジウム論文集, 12, 45, 48, 04 Sep. 1997
    Japanese
  • On information coding in the pacemaker neuron model.
    YAMANOBE TAKANOBU, NOMURA TAISHIN, DOI SHINJI, SATO SHUNSUKE, 生体・生理工学シンポジウム論文集, 11th, 77-80, 80, Nov. 1996
    Japanese
  • On response characteristics of the mRIC to interval modulated pulse trains
    YAMANOBE Takanobu, NOMURA Taishin, DOI Shinji, SATO Shunsuke, IEICE technical report. ME and bio cybernetics, 96, 75, 127, 134, 24 May 1996
    Neurons which spontaneously discharge spikes at practically constant time interval are called pacemaker neuron. The mRIC is such a model as to behave like a pacemaker neuron. We investigate the response chracteristics of the mRIC when it is stimulated by interval modulated pulse trains. The modulated intervals are determined by some deterministic ways and their amplitude is constant. Especially we consider relationship between instantaneous frequency. of the input pulse trains and that of the output trains., The Institute of Electronics, Information and Communication Engineers, Japanese
  • Analysis of a reduced Hodgkin-Huxley equation
    Yamanobe Takanobu, Doi Shinji, Sato shunsuke, IEICE technical report. ME and bio cybernetics, 94, 41, 48, 1994
    The Hodgkin-Huxley equation is reduced to a two-variables equation by using Kepler′s reduction scheme.Analyzing the behavior of the reduced equation on the phase plane,we investigate the reduction method,especially considering the way how to determine the weight coefficients in Kepler′s method.Response characteristic s of the reduced H-H equation to periodic pluse trains are also investigated., The Institute of Electronics, Information and Communication Engineers, Japanese

Lectures, oral presentations, etc.

  • Reduction of a Markov operator representing the dynamics of stochastic neuronal model by sparse discrete cosine transform　　　　　　　　　　　　　　　
    Takanobu Yamanobe
    第５６回日本生物物理学会年会, 17 Sep. 2018, English, Poster presentation
    [Domestic Conference]
  • Reduction of the dynamics of stochastic neuronal models by sparse discrete cosine transform　　　　　　　　　　　　　　　
    Takanobu Yamanobe
    11th FENS Forum of Neuroscience, 10 Jul. 2018, English, Poster presentation
    [Domestic Conference]
  • Analysis of a nonlinear oscillator by asymptotic expansion of stochastic processes　　　　　　　　　　　　　　　
    Takanobu Yamanobe
    Perspectives of Nonlinear Phenomena in Random and Non-autonomous Dynamics, 29 Sep. 2017, Japanese
    [Invited], [Domestic Conference]

Research Themes

  • 次元の呪いを克服した固有値問題数値解法による確率的神経細胞モデルの解析　　　　　　　　　　　　　　　
    科学研究費補助金（基盤研究（C））
    Apr. 2018 - Mar. 2021
    山野辺貴信
    文部科学省, Principal investigator, Competitive research funding
  • スパースモデリングによる確率的神経細胞モデルダイナミクスの縮約
    科学研究費助成事業
    01 Apr. 2016 - 31 Mar. 2018
    山野辺 貴信
    これまでの研究で、我々は、確率微分方程式で表される神経細胞モデルに、時間変化するパルス列入力が入るときの統計的大域挙動を記述する線形作用素を構築した。この線形作用素は有限次元の行列で近似されることが理論的に示されるが、線形作用素の単なる離散近似では近似行列の要素数が多くなりすぎ、与えられたモデルの統計的大域挙動を解析するのが困難となる。本研究では、我々が提案した線形作用素の積分核が、良く用いられるパラメータの範囲でスパース性を持つことに着目し、線形作用素をある基底で展開し、この困難を緩和することにした。構築した線形作用素は確率的神経細胞モデルのパラメータや入力パラメータに依存し、そのスペクトル特性が変わる。入力は時間変化するため、線形作用素を縮約する問題は画像圧縮とほぼ同じ問題となる。したがって、パラメータごとに基底を用意するのではなく、同じ基底を用い変換した方が応用上適している。そこで離散コサイン変換（DCT-II）のFFT の部分にsparse FFT を用い、線形作用素を少ない要素数の行列で近似することを試みた。sparse FFT には大きく分けて確率的sparse FFT と決定論的sparse FFT の２つのアプローチがある。ここでは決定論的sparse FFT を用いた。これによりスパースなフーリエ係数を決定論的に計算可能となり、FFT を用いたDCT-II を用いるときより、sparse FFT を用いたDCT-IIの方が効率的に線形作用素を縮約できることを示した。
    日本学術振興会, 新学術領域研究(研究領域提案型), 北海道大学, 16H01527