73 research outputs found

    ニューロンの興奮性、抑制性結合と因果性の推定

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    Open House, ISM in Tachikawa, 2018.6.15統計数理研究所オープンハウス(立川)、H30.6.15ポスター発

    ニューロンの規則、不規則活動と自励的同期現象

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    Open House, ISM in Tachikawa, 2017.6.16統計数理研究所オープンハウス(立川)、H29.6.16ポスター発

    統計値マッピングによる神経細胞の検出と可視化

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    Open House, ISM in Tachikawa, 2016.6.17統計数理研究所オープンハウス(立川)、H28.6.17ポスター発

    A statistical mapping strategy to identify inspiratory neurons among active cells in the pre-Bötzinger Complex

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    Open House, ISM in Tachikawa, 2015.6.19統計数理研究所オープンハウス(立川)、H27.6.19ポスター発

    Cell Type-Dependent Activation Sequence During Rhythmic Bursting in the PreBötzinger Complex in Respiratory Rhythmic Slices From Mice

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    Spontaneous respiratory rhythmic burst activity can be preserved in the preBötzinger Complex (preBötC) of rodent medullary transverse slices. It is known, that the activation sequence of inspiratory neurons in the preBötC stochastically varies from cycle to cycle. To test whether the activation timing of an inspiratory neuron depends on its neurotransmitter, we performed calcium imaging of preBötC neurons using double-transgenic mice expressing EGFP in GlyT2+ neurons and tdTomato in GAD65+ neurons. Five types of inspiratory neurons were identified using the fluorescence protein expression and the maximum cross-correlation coefficient between neuronal calcium fluctuation and field potential. Regarding the activation sequence, irregular type putative excitatory (GlyT2-/GAD65-) neurons and irregular type glycinergic (GlyT2+/GAD65-) neurons tended to be activated early, while regular type putative excitatory neurons, regular type glycinergic neurons tended to be activated later. In conclusion, the different cell types define a general framework for the stochastically changing activation sequence of inspiratory neurons in the preBötC

    ニューロンの同期現象を形成する最小ネットワークの推定

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    ISM Online Open House, 2020.10.27統計数理研究所オープンハウス(オンライン開催)、R2.10.27ポスター発

    ボトムアップアプローチによる階層神経モデルの構造推定

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    Open House, ISM in Tachikawa, 2011.7.14統計数理研究所オープンハウス(立川)、H23.7.14ポスター発

    膜電位イメージングデータの時空間解析

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    平成21年度研究報告会、統計数理研究所(広尾)、H22.3.18-19口頭発
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