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Shinomoto Shigeru  篠本 滋

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SHINOMOTO Shigeru  篠本 滋

SHIGERU SHINOMOTO  篠本 滋

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Researcher Number 60187383
Other IDs
External Links
Affiliation (Current) 2022: 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 研究員
Affiliation (based on the past Project Information) *help 2021 – 2022: 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 研究員
2017 – 2020: 京都大学, 理学研究科, 准教授
2017: 京都大学, 大学院理学研究科, 准教授
2016 – 2017: 京都大学, 理学(系)研究科(研究院), 准教授
2015: 京都大学, 理学研究科, 准教授 … More
2012 – 2014: 京都大学, 理学(系)研究科(研究院), 准教授
2008 – 2012: Kyoto University, 理学研究科, 准教授
2007: Kyoto University, Graduate School of Science, Associate Professor
2006: 京都大学, 大学院理学研究科, 助教授
1999 – 2005: 京都大学, 大学院・理学研究科, 助教授
1987 – 1988: 京都大学, 理学部, 助手 Less
Review Section/Research Field
Principal Investigator
Biological Sciences / Sensitivity informatics/Soft computing / Statistical science / Intelligent informatics / Complex systems
Except Principal Investigator
Cognitive science / 物理学一般 / Basic Section 62020:Web informatics and service informatics-related / Transformative Research Areas, Section (III)
Keywords
Principal Investigator
局所変動係数 / 神経スパイク信号 / 細胞内通電実験 / 前頭連合野 / 時間コード / 神経スパイクコード / スパイク統計 / 待ち時間課題 / 脳シミュレータ / 神経スパイクモデル … More / スパイク予測 / 神経スパイク / 状態空間法 / local variation / MT野 / MST野 / 時間依存ポアソン過程 / 細胞分類 / 神経スパイク時系列 / 待ち時間課程 / 空間コーディング / 時間コーディング / 神経スパイク統計 / 統計推定 / 国際研究者交流:チェコ / 国際研究者交流:米国 / 国際研究者交流:ドイツ / 国際研究者交流:イタリア / 状態空間解析 / 隠れマルコフモデル / 国際研究者交流・米国 / 国際研究者交流・ドイツ / 国際研究者交流・イタリア / 国際研究者交流・チェコ / 神経信号解析 / ベイズ推定 / イベント時系列解析 / 神経スパイクデータ / 大規模データ / 統計的因果性の解析 / 統計学 / 階層ネットワーク / 微視的不安定性 / ビッグデータ解析 / ネットワーク / 時系列解析 / 細胞内通電 / スパイク生成モデル / 時間依存ポアソンモデル / spike signal / current injection / neurospiking model / spiking statistics / waiting period task / 神経信号相関 / 生体生命情報学 … More
Except Principal Investigator
前頭連合野 / 遂行機能 / 記憶想起 / 意思決定 / トップダウン制御信号 / 自由選択 / 対連合課題 / サル / トップダウン信号 / ニホンザル / 単一ニューロン活動 / トップダウン制御 / 対連合学習 / 前頭葉眼窩部 / 脳磁図 / 三次元図形の短期記憶 / 時空間学習則 / エピソード記憶 / 海馬 / コインシデンスディテクタ系 / 動的セル・アセンプリー仮説 / 神経スパイク統計 / 相対的位置識別 / LTP / LTD / 意味記憶 / 過渡的シンクロニー / 脳磁図(MEG) / テクスチャーの勾配 / 人名の想起 / fMRI / ユニタリー事象 / 神経スパイク時系列 / コインシデンスディテクタ / 長期増強(LTP) / 光学的計測 / 平面方位識別ニューロン / PET / コインシデンス・ディテクタ / 動的細胞集成体 / 頭頂葉連合野 / 前頭前野 / 光計測 / カオスニューラルネット / PET(positron emission tomography) / コインシデンス・ディテクター / 動的細胞集成体仮説 / High spatial resolution MEG / Short-term memory of 3D shape / Spatio temporal learning rule / Episodic memory / Hippocampus / Coincidence detector system / Dynamical cell assembly hypothesis / Spike statistics / 大自由度散逸力学系 / 動的縮約法 / 引き込み現象 / フェイズダイナミクス / 回転子模型 / 神経回路網 / 秩序パラメター / 振動子集団 / 位相乱流 / 実効発展方程式 / 乱流ゆらぎ / くり込まれた輸送係数 / dissipative dynamical systems with many degrees of freedom / dynamical contraction / entrainment / phasedynamics / rotator model / ソーシャルメディア分析 / Webデータ分析 / 時系列モデル / フェークニュース / 情報拡散 / 社会ネットワーク分析 / 計算社会科学 / 時系列分析 / トピックモデル / トレンド / ウェブマイニング / 時系列解析 / 機械学習 / 行動変容 / 神経データ解析 / 動画データ解析 Less
  • Research Projects

    (19 results)
  • Research Products

    (125 results)
  • Co-Researchers

    (32 People)
  •  脳回路動態に基づく行動変容の標準化

    • Principal Investigator
      中江 健
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (III)
    • Research Institution
      Kyoto University
  •  ソーシャルメディアにおける将来のトレンドを予測する時系列モデルの開発

    • Principal Investigator
      小林 亮太
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 62020:Web informatics and service informatics-related
    • Research Institution
      The University of Tokyo
      National Institute of Informatics
  •  Inferring network structures and activity patterns from neuronal signalsPrincipal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      Kyoto University
  •  Constructing state-space models that fit hierarchical networks to multitude of event sequencesPrincipal Investigator

    • Principal Investigator
      Shinomoto Shigeru
    • Project Period (FY)
      2014 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Kyoto University
  •  神経細胞集団を階層的組織にクラスタリングする方法の開発と応用Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2013 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  Prefrontal neural networks for performing executive functions

    • Principal Investigator
      Funahashi Shintaro
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Cognitive science
    • Research Institution
      Kyoto University
  •  神経信号からメゾスコピック神経回路の働きを同定する大規模データ解析手法の確立Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  空間認知および時間認知の神経回路モデルの構築Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2008 – 2009
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  Development of elemental models for the brain simulatorPrincipal Investigator

    • Principal Investigator
      SHINOMOTO Shigeru
    • Project Period (FY)
      2008 – 2012
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Kyoto University
  •  時間認識の神経メカニズムの実証的理論研究Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2006 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  時間予測判断を行うための神経ネットークモデルの構築Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2005
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  新統計測度による神経信号時系列パターンの分類と脳内信号の流れの解明Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2004
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  Neuronal dynamics relating to the time coding in the brainPrincipal Investigator

    • Principal Investigator
      SHINOMOTO Shigeru
    • Project Period (FY)
      2004 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Kyoto University
  •  神経スパイク特性に基づいた細胞分類法の確立Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2003
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  神経情報コードの解明に向けた神経細胞モデル比較実験Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2001
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas (C)
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  神経情報コードの解明に向けた神経細胞モデル比較実験Principal Investigator

    • Principal Investigator
      篠本 滋
    • Project Period (FY)
      2000
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas (C)
    • Review Section
      Biological Sciences
    • Research Institution
      Kyoto University
  •  Spike coding of the memory.Principal Investigator

    • Principal Investigator
      SHINOMOTO Shigeru
    • Project Period (FY)
      2000 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Kyoto University
  •  Formation and storage of memory

    • Principal Investigator
      AIHARA Kazuyuki
    • Project Period (FY)
      1996 – 1999
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Research Institution
      The University of Tokyo
  •  Theory of Dynamical Contraction Applicable to Nonlinear Dissipative Systems

    • Principal Investigator
      YOSHIKI KURAMOTO
    • Project Period (FY)
      1987 – 1988
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      物理学一般
    • Research Institution
      Kyoto University

All 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 Other

All Journal Article Presentation Book

  • [Book] 力学2013

    • Author(s)
      篠本 滋, 坂口英継
    • Total Pages
      356
    • Publisher
      東京図書
    • Data Source
      KAKENHI-PUBLICLY-25115718
  • [Book] 脳科学のテーブル2008

    • Author(s)
      外山敬介・甘利俊一・篠本滋
    • Total Pages
      200
    • Publisher
      京都大学学術出版会
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Book] 脳科学のテーブル2008

    • Author(s)
      外山敬介, 甘利俊一, 篠本滋
    • Total Pages
      200
    • Publisher
      京都大学学術出版会
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Book] 脳科学のテーブル2008

    • Author(s)
      外山敬介・甘利俊一・篠本滋
    • Publisher
      京都大学学術出版会
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] A convolutional neural network for estimating synaptic connectivity from spike trains2021

    • Author(s)
      Endo Daisuke、Kobayashi Ryota、Bartolo Ramon、Averbeck Bruno B.、Sugase-Miyamoto Yasuko、Hayashi Kazuko、Kawano Kenji、Richmond Barry J.、Shinomoto Shigeru
    • Journal Title

      Scientific Reports

      Volume: 11 Pages: 12087-12087

    • DOI

      10.1038/s41598-021-91244-w

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11560, KAKENHI-PROJECT-19K07804, KAKENHI-PROJECT-20K12588
  • [Journal Article] Reconstructing Neuronal Circuitry from Parallel Spike Trains2019

    • Author(s)
      Ryota Kobayashi, Shuhei Kurita, Katsunori Kitano, Kenji Mizuseki, Barry J. Richmond, Shigeru Shinomoto
    • Journal Title

      bioRxiv

      Volume: - Pages: 1-14

    • DOI

      10.1101/334078

    • NAID

      120006728081

    • Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11560, KAKENHI-PUBLICLY-18H05137, KAKENHI-PROJECT-16H04656, KAKENHI-PROJECT-17K19462
  • [Journal Article] Reconstructing Neuronal Circuitry from Parallel Spike Trains2019

    • Author(s)
      Kobayashi Ryota、Kurita Shuhei、Kurth Anno、Kitano Katsunori、Mizuseki Kenji、Diesmann Markus、Richmond Barry J.、Shinomoto Shigeru
    • Journal Title

      Nature Communications

      Volume: 10 Pages: 1-13

    • DOI

      10.1038/s41467-019-12225-2

    • NAID

      120006728081

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11560, KAKENHI-ORGANIZER-15H05871, KAKENHI-PUBLICLY-18H05137, KAKENHI-PUBLICLY-19H05225, KAKENHI-PROJECT-19H01140, KAKENHI-INTERNATIONAL-15K21731, KAKENHI-PROJECT-26280007, KAKENHI-PLANNED-15H05877, KAKENHI-PROJECT-19H01133
  • [Journal Article] Identifying exogenous and endogenous activity in social media2018

    • Author(s)
      Fujita Kazuki、Medvedev Alexey、Koyama Shinsuke、Lambiotte Renaud、Shinomoto Shigeru
    • Journal Title

      Physical Review E

      Volume: 98 Pages: 052304-052304

    • DOI

      10.1103/physreve.98.052304

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06028, KAKENHI-PROJECT-26280007
  • [Journal Article] Correlations and forecast of death tolls in the Syrian conflict2017

    • Author(s)
      K. Fujita, S. Shinomoto, and L.E.C. Rocha
    • Journal Title

      Scientific Reports

      Volume: 7 Pages: 15737-15737

    • DOI

      10.1038/s41598-017-15945-x

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007, KAKENHI-PUBLICLY-17H06028
  • [Journal Article] Similarity in Neuronal Firing Regimes across Mammalian Species2017

    • Author(s)
      Yasuhiro Mochizuki, ..., Ichiro Fujita, et al.
    • Journal Title

      Brain structure and function

      Volume: 36 Pages: 4089-4110

    • DOI

      10.1523/jneurosci.0230-16.2016

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-15H01437, KAKENHI-PLANNED-15H05916, KAKENHI-PLANNED-15H05921, KAKENHI-PUBLICLY-16H01612, KAKENHI-PUBLICLY-16H01623, KAKENHI-PUBLICLY-16H01673, KAKENHI-ORGANIZER-16H06535, KAKENHI-PLANNED-16H06543, KAKENHI-PLANNED-26112005, KAKENHI-PLANNED-26112009, KAKENHI-PROJECT-25240021, KAKENHI-PROJECT-15H04266, KAKENHI-PROJECT-16H02840, KAKENHI-PROJECT-26280007, KAKENHI-PROJECT-26330288, KAKENHI-PROJECT-25560435, KAKENHI-PROJECT-26560455, KAKENHI-PROJECT-16K13115, KAKENHI-INTERNATIONAL-16K21735, KAKENHI-PROJECT-24223004, KAKENHI-PROJECT-15H01690
  • [Journal Article] Emergence of event cascades in inhomogeneous networks.2016

    • Author(s)
      Tomokatsu Onaga, Shigeru Shinomoto
    • Journal Title

      Scientific Reports

      Volume: 6 Pages: 33321-33321

    • DOI

      10.1038/srep33321

    • NAID

      120005844251

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15J02034, KAKENHI-PROJECT-26280007
  • [Journal Article] Efficient information transfer by Poisson neurons.2016

    • Author(s)
      Lubomir Kostal and Shigeru Shinomoto
    • Journal Title

      Mathematical Biosciences and Engineering

      Volume: 13 Pages: 506-520

    • DOI

      10.3934/mbe.2016004

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Journal Article] Microscopic instability in recurrent neural networks.2015

    • Author(s)
      Y. Yamanaka, S. Amari, and S. Shinomoto
    • Journal Title

      Physical Review E

      Volume: 91 Pages: 032921-032921

    • DOI

      10.1103/physreve.91.032921

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Journal Article] Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation.2014

    • Author(s)
      Kim, H. & Shinomoto, S.
    • Journal Title

      Mathematical Biosciences and Engineering

      Volume: 11 Pages: 49-62

    • DOI

      10.3934/mbe.2014.11.49

    • Peer Reviewed
    • Data Source
      KAKENHI-PUBLICLY-25115718
  • [Journal Article] Bursting transition in a linear self-exciting point process2014

    • Author(s)
      T. Onaga and S. Shinomoto
    • Journal Title

      Physical Review E

      Volume: 89 Pages: 042817-042817

    • DOI

      10.1103/physreve.89.042817

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PUBLICLY-25115718, KAKENHI-PROJECT-26280007
  • [Journal Article] Analog and digital codes in the brain2014

    • Author(s)
      Y. Mochizuki and S. Shinomoto
    • Journal Title

      Physical Review E

      Volume: 89 Pages: 022705-022705

    • DOI

      10.1103/physreve.89.022705

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PUBLICLY-25115718, KAKENHI-PROJECT-26280007
  • [Journal Article] Information transmission using non-Poisson regular firing.2013

    • Author(s)
      Koyama, S., Omi, T., Kass, R.E. & Shinomoto, S.
    • Journal Title

      Neural Computation

      Volume: 25 Pages: 854-876

    • DOI

      10.1162/neco_a_00420

    • Peer Reviewed
    • Data Source
      KAKENHI-PUBLICLY-25115718
  • [Journal Article] Estimating nonstationary input signals from a single neuronal spike train.2012

    • Author(s)
      H. Kim and S. Shinomoto
    • Journal Title

      Physical Review E

      Volume: 86 Pages: 51903-51903

    • NAID

      120005241375

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Estimating nonstationary input signals from a single neuronal spike train2012

    • Author(s)
      Hideaki Kim and Shigeru Shinomoto
    • Journal Title

      Phys. Rev. E

      Volume: 86 Pages: 051903-051903

    • DOI

      10.1103/physreve.86.051903

    • NAID

      120005241375

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083, KAKENHI-PUBLICLY-23115510
  • [Journal Article] Detection limit for rate fluctuations in inhomogeneous Poisson processes2012

    • Author(s)
      T. Shintani and S. Shinomoto
    • Journal Title

      Physical Review E

      Volume: 85 Pages: 41139-41139

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Neurons as ideal change-point detectors.2012

    • Author(s)
      H. Kim, B.J. Richmond, and S. Shinomoto
    • Journal Title

      J. Computational Neuroscience

      Volume: 32 Pages: 137-146

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Detection limit for rate fluctuations in inhomogeneous Poisson processes2012

    • Author(s)
      T Shintani and S Shinomoto
    • Journal Title

      Phys. Rev. E

      Volume: 85 Pages: 041139-041139

    • DOI

      10.1103/physreve.85.041139

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083, KAKENHI-PUBLICLY-23115510
  • [Journal Article] neuron model for reproducing diverse firing patterns and predicting precis2011

    • Author(s)
      Satoshi Yamauchi, Hideaki Kim, Shigeru Shinomoto
    • Journal Title

      Frontiers in Computational Neuroscience

      Volume: 5 Pages: 1-15

    • DOI

      10.3389/fncom.2011.00042

    • NAID

      120003674041

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-10J00396, KAKENHI-PROJECT-20300083
  • [Journal Article] Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times2011

    • Author(s)
      S. Yamauchi, H. Kim, S. Shinomoto
    • Journal Title

      Frontiers in Computational Neuroscience

      Volume: 5 Pages: 42-42

    • NAID

      120003674041

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Deciphering elapsed time and predicting action timing from neuronal population signals2011

    • Author(s)
      S.Shinomoto, T.Omi, A.Mita, H.Mushiake, K.Shima, Y.Matsuzaka, J.Tanji
    • Journal Title

      Front Comput Neurosci

      Volume: 5 Pages: 1-11

    • DOI

      10.3389/fncom.2011.00029

    • NAID

      120003674042

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-09J00949, KAKENHI-PUBLICLY-22120503, KAKENHI-PROJECT-22300124, KAKENHI-PROJECT-22500349, KAKENHI-PUBLICLY-23115510
  • [Journal Article] Optimizing time histograms for non-Poissonian spike trains.2011

    • Author(s)
      T. Omi and S. Shinomoto
    • Journal Title

      Neural Computation

      Volume: 23 Pages: 3125-3144

    • NAID

      120003988287

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Deciphering elapsed time and predicting action timing from neuronal population signals.2011

    • Author(s)
      S. Shinomoto, T. Omi, A. Mita, H. Mushiake, K. Shima, Y. Matsuzaka, and J. Tanji
    • Journal Title

      Frontiers in Computational Neuroscience

      Volume: 5 Pages: 19-19

    • NAID

      120003674042

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Optimizing time histograms for non-Poissonian spike trains2011

    • Author(s)
      T.Omi, S.Shinomoto
    • Journal Title

      Neural Computation

      Volume: 23 Pages: 3125-3144

    • DOI

      10.1162/neco_a_00213

    • NAID

      120003988287

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-09J00949, KAKENHI-PROJECT-20300083, KAKENHI-PUBLICLY-23115510
  • [Journal Article] Estimation of a time-dependent input from the voltage of leaky integrate fire neuron2011

    • Author(s)
      Obayashi, S.Shinomoto, P.Lan
    • Journal Title

      Neural Computation

      Volume: 23 Pages: 3070-3093

    • DOI

      10.1162/neco_a_00205

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083, KAKENHI-PUBLICLY-23115510
  • [Journal Article] Estimation of a time-dependent input from the voltage of leaky integrate fire neuron2011

    • Author(s)
      R. Kobayashi, S. Shinomoto, and P. Lansky
    • Journal Title

      Neural Computation

      Volume: 23 Pages: 3070-3093

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Kernel bandwidth optimization in spike rate estimation.2010

    • Author(s)
      H.Shimazaki, S.Shinomoto
    • Journal Title

      J.Computational Neuroscience

      Volume: 29 Pages: 171-182

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] A characterization of the time-rescaled gamma process as a model for spike trains.2010

    • Author(s)
      T.Shimokawa, S.Koyama, S.Shinomoto
    • Journal Title

      J.Computational Neuroscience

      Volume: 29 Pages: 183-191

    • NAID

      120002598752

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] A characterization of thetime-rescaled gamma process as a model for spike trains.2010

    • Author(s)
      T. Shimokawa, S. Koyama, and S. Shinomoto
    • Journal Title

      J. Computational Neuroscience

      Volume: 29 Pages: 183-191

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Kernel bandwidth optimization in spike rate estimation.2010

    • Author(s)
      H. Shimazaki, S. Shinomoto
    • Journal Title

      J.Computational Neuroscience 29

      Pages: 171-182

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Fitting a stochastic spiking model to neuronal current injection data.2010

    • Author(s)
      S. Shinomoto
    • Journal Title

      Neural Networks

      Volume: 23 Pages: 764-769

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.2009

    • Author(s)
      R. Kobayashi, Y. Tsubo, S. Shinomoto
    • Journal Title

      Frontiers in Computational Neuroscience 3

      Pages: 9-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Estimating instantaneous irregularity of neuronal firing.2009

    • Author(s)
      T.Shimokawa, S.Shinomoto
    • Journal Title

      Neural Computation 21

      Pages: 1931-1951

    • NAID

      120001629978

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Journal Article] Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.2009

    • Author(s)
      R.Kobayashi, Y.Tsubo, S.Shinomoto
    • Journal Title

      Frontiers in Computational Neuroscience 3

      Pages: 9-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Journal Article] Relating neuronal Firing patterns to functional differentiation of cerebral cortex.2009

    • Author(s)
      S.Shinomoto, et al.
    • Journal Title

      PLoS Computational Biology

      Volume: 5

    • NAID

      120003780186

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Estimating instantaneous irregularity of neuronal firing.2009

    • Author(s)
      T.Shimokawa, S.Shinomoto
    • Journal Title

      Neural Computation

      Volume: 21 Pages: 1931-1951

    • NAID

      120001629978

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Relating neuronal firing patterns to functional differentiation of cerebral cortex.2009

    • Author(s)
      S. Shinomoto, H. Kim, T. Shimokawa, N. Matsuno, S. Funahashi, K. Shima, I. Fujita, H. Tamura, T. Doi, K. Kawano, N. Inaba, K. Fukushima, S. Kurkin, K. Kurata, M. Taira, K. Tsutsui, H. Komatsu, T. Ogawa, K. Koida, J. Tanji, and K. Toyama
    • Journal Title

      PLoS Computational Biology

      Volume: 5

    • NAID

      120003780186

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold2009

    • Author(s)
      R. Kobayashi, Y. Tsubo, and S. Shinomoto
    • Journal Title

      Frontiers in Computational Neuroscience

      Volume: 3 Pages: 9-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Relating neuronal firing patterns to functional differentiation of cerebral cortex.2009

    • Author(s)
      S. Shinomoto, H. Kim, T. Shimokawa, N. Matsuno, S. Funahashi, K. Shima, I. Fujita, H. Tamura, T. Doi, K. Kawano, N. Inaba, K. Fukushima, S. Kurkin, K. Kurata, M. Taira, K. Tsutsui, H. Komatsu, T. Ogawa, K.Koida, J. Tanji, K. Toyama
    • Journal Title

      PLoS Computational Biology 5

    • NAID

      120003780186

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Estimating instantaneous irregularity of neuronal firing2009

    • Author(s)
      T. Shimokawa and S. Shinomoto
    • Journal Title

      Neural Computation

      Volume: 21 Pages: 1931-1951

    • NAID

      120001629978

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Relating neuronal firing patterns to functional differentiation of cerebral cortex.2009

    • Author(s)
      S.Shinomoto, H.Kim, T.Shimokawa, et al.
    • Journal Title

      PLoS Computational Biology 5

    • NAID

      120003780186

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Journal Article] Can distributed delays perfectly stabilize dynamical networks?2008

    • Author(s)
      T. Omi, S. Shinomoto
    • Journal Title

      Physical Review E 77

      Pages: 46214-46214

    • NAID

      120003018623

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] Can distributed delays perfectly stabilize dynamical networks?2008

    • Author(s)
      T. Omi and S. Shinomoto
    • Journal Title

      Physical Review E 77

      Pages: 46214-46214

    • NAID

      120003018623

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Journal Article] A benchmark test for a quantitative assessment of simple neuron models.2008

    • Author(s)
      R. Jolivet, R. Kobayashi, A. Rauch, R. Naud, S. Shinomoto
    • Journal Title

      J. Neurosci. Methods 169

      Pages: 417-424

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Journal Article] A benchmark test for a-quantitative assessment of simple neuron models2008

    • Author(s)
      R. Jolivet, R. Kobayashi, A. Rauch, R. Naud, S. Shinomoto and
    • Journal Title

      J. Neurosci. Methods 169

      Pages: 417-424

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Journal Article] State space method for predicting the spike times of a neuron Physical Review E2007

    • Author(s)
      R., Kobayashi, S., Shinomoto
    • Journal Title

      75

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] MST neurons code for visual motion in space independent of pursuit eye movements.2007

    • Author(s)
      N. Inaba, S. Shinomoto, S. Yamane, A. Takemura and K. Kawano
    • Journal Title

      J. Neurophysiol. 97

      Pages: 3473-3483

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] State space method for predicting the spike times of a neuron.2007

    • Author(s)
      R. Kobayashi and S. Shinomoto
    • Journal Title

      Physical Review E 75

      Pages: 11925-11925

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] A method for selecting the bin size of a time histogram2007

    • Author(s)
      H., Shimazaki, S., Shinomoto
    • Journal Title

      Neural Computation 19

      Pages: 1503-1527

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] A method for selecting the bin size of a time histogram.2007

    • Author(s)
      H. Shimazaki and S. Shinomoto
    • Journal Title

      Neural Computation 19

      Pages: 1507-1527

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] State space method for predicting the spike times of a neuron.2007

    • Author(s)
      R. Kobayashi and S. Shinomoto
    • Journal Title

      Physical Review E 75

      Pages: 11925-11925

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18020015
  • [Journal Article] Kawano, MST neurons code for visual motion in space independent of pursuit eye movements2007

    • Author(s)
      N., Inaba, S., Shinomoto, S., Yamane, A., Takemura, K
    • Journal Title

      J. Neurophysiol 97

      Pages: 3473-3483

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] State space method for predicting the spike times of a neuron.2007

    • Author(s)
      R.Kobayashi, S.Shinomoto
    • Journal Title

      Physical Review E 75

      Pages: 11925-11925

    • Data Source
      KAKENHI-PROJECT-18020015
  • [Journal Article] State space method for predicting the spike times of a neuron.2007

    • Author(s)
      R.Kobayashi, S.Shinomoto
    • Journal Title

      Physical Review E 75

      Pages: 11925-11925

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] State space method for predicting the spike times of aneuron.2007

    • Author(s)
      R. Kobayashi and S. Shinomoto
    • Journal Title

      Physical Review E 75

      Pages: 11925-11925

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] A method for selecting the bin size of a time histogram.2007

    • Author(s)
      H. Shimazaki and S. Shinomoto
    • Journal Title

      Neural Computation 19

      Pages: 1503-1527

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18020015
  • [Journal Article] MST neurons code for visual motion in space independent of pursuit eye movements.2007

    • Author(s)
      N. Inaba, S. Shinomoto, S. Yamane, A. Takemura and K. Kawano
    • Journal Title

      J. Neurophysiol. 97

      Pages: 3473-3483

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18020015
  • [Journal Article] Inhibitory neurons can facilitate rhythmic activity in a neural network.2006

    • Author(s)
      T.Shimokawa, S.Shinomoto
    • Journal Title

      Physical Review E 73

      Pages: 66221-66221

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] Inhibitory neurons can facilitate rhythmic activity in a neural network.2006

    • Author(s)
      T.Shimokawa, S.Shinomoto
    • Journal Title

      Physical Review E 73

      Pages: 66221-66221

    • Data Source
      KAKENHI-PROJECT-18020015
  • [Journal Article] Regional and laminar differences in in vivo firing patterns of primate cortical neurons2005

    • Author(s)
      S.Shinomoto, Y.Miyazaki, H.Tamura, I.Fujita
    • Journal Title

      J.Neurophysiol. 94

      Pages: 567-575

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] A measure of local variation of inter-spike intervals.2005

    • Author(s)
      S.Shinomoto, K.Miura, S.Koyama
    • Journal Title

      BioSystems 79

      Pages: 67-72

    • Data Source
      KAKENHI-PROJECT-16015263
  • [Journal Article] Faithful and unfaithful students in time series learning2005

    • Author(s)
      R.Kobayashi, Y.Miyazaki, S.Shinomoto
    • Journal Title

      IMA J.Appl.Math. 70

      Pages: 657-665

    • Data Source
      KAKENHI-PROJECT-17022022
  • [Journal Article] Faithful and unfaithful students in time series learning2005

    • Author(s)
      R.Kobayashi, Y.Miyazaki, S.Shinomoto
    • Journal Title

      IMA J.Appl.Math. 70

      Pages: 657-665

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] Regional and laminar differences in in vivo firing patterns of primate cortical neurons2005

    • Author(s)
      S.Shinomoto, Y.Miyazaki, H.Tamura, I.Fujita
    • Journal Title

      J.Neurophysiol. 94

      Pages: 567-575

    • Data Source
      KAKENHI-PROJECT-17022022
  • [Journal Article] Empirical Bayes interpretations of random point events2005

    • Author(s)
      S.Koyama, S.Shinomoto
    • Journal Title

      J.Physics A 38

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] A measure of local variation of inter-spike intervals2005

    • Author(s)
      S.Shinomoto, K.Miura, S.Koyama
    • Journal Title

      BioSystems 79

      Pages: 67-72

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] A measure of local-variation of inter-spike intervals2005

    • Author(s)
      S.Shinomoto, K.Miura, S.Koyama
    • Journal Title

      BioSystems 79

      Pages: 67-72

    • Data Source
      KAKENHI-PROJECT-17022022
  • [Journal Article] A measure of local variation of inter-spike intervals.2005

    • Author(s)
      S.Shinomoto, K.Miura, S.Koyama
    • Journal Title

      BioSystems 79

      Pages: 67-72

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] Empirical Bayes interpretations of random point events2005

    • Author(s)
      S.Koyama, S.Shinomoto
    • Journal Title

      J.Physics A 38

    • Data Source
      KAKENHI-PROJECT-17022022
  • [Journal Article] Predicting spike timings of current-injected neurons.2004

    • Author(s)
      Y.Tsubo, T.Kaneko, S.Shinomoto
    • Journal Title

      Neural Networks 17

      Pages: 165-173

    • NAID

      80017044158

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] Predicting spike timings of current-injected neurons.2004

    • Author(s)
      Y.Tsubo, T.Kaneko, S.Shinomoto
    • Journal Title

      Neural Networks 17

      Pages: 165-173

    • NAID

      80017044158

    • Data Source
      KAKENHI-PROJECT-16015263
  • [Journal Article] Histogram bin-width selection for time-dependent point processes.2004

    • Author(s)
      S.Koyama, S.Shinomoto
    • Journal Title

      J. Physics A 37

      Pages: 7255-7265

    • Data Source
      KAKENHI-PROJECT-16015263
  • [Journal Article] Histogram bin-width selection for time-dependent point processes.2004

    • Author(s)
      S.Koyama, S.Shinomoto
    • Journal Title

      J.Physics A 37

      Pages: 7255-7265

    • Data Source
      KAKENHI-PROJECT-16300068
  • [Journal Article] Kernel bandwidth optimization in spike rate estimation.

    • Author(s)
      H. Shimazaki and S. Shinomoto
    • Journal Title

      J. Computational Neuroscience

      Volume: 29 Pages: 1711-1711

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] 神経回路のネットワーク結合の推定2022

    • Author(s)
      小林亮太, 遠藤大輔, 篠本滋
    • Organizer
      日本物理学会 第77回年次大会
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] 神経回路のネットワーク結合の推定2021

    • Author(s)
      小林亮太, 遠藤大輔, 篠本滋
    • Organizer
      ネットワーク科学研究会
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] CoNNECT: Convolutional Neural Network for Estimating synaptic Connectivity from parallel spike trains2021

    • Author(s)
      小林 亮太, 遠藤 大輔, 篠本 滋
    • Organizer
      日本神経科学大会/CJK国際会議
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] Estimating synaptic connectivity from parallel spike trains2021

    • Author(s)
      Ryota Kobayashi, Daisuke Endo and Shigeru Shinomoto
    • Organizer
      Neural coding 2021
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] Reconstructing neuronal circuitry from spiking signals.2020

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      AIMR Advanced Target Projects
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Estimating Neural Connectivity from Spike Trains.2020

    • Author(s)
      Kobayashi R, Shinomoto S
    • Organizer
      NetSci-X
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] イベント時系列からネットワークを再構成する2019

    • Author(s)
      Kobayashi R, Kurita S, Kitano K, Mizuseki K, Richmond B.J, Shinomoto S
    • Organizer
      ネットワーク科学セミナー 2019
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] 多細胞スパイクデータからシナプス結合を推定する技術の開発2019

    • Author(s)
      Kobayashi R, Kurita S, Kitano K, Mizuseki K, Richmond B.J, Shinomoto S
    • Organizer
      NEURO2019
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] Applying the generalized linear model to cross-correlations for estimating interneuronal connections2019

    • Author(s)
      Shinomoto S, Kobayashi R
    • Organizer
      Ninth International Workshop Statistical Analysis of Neuronal Data (SAND9)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] A method for estimating synaptic connections from parallel spike trains2019

    • Author(s)
      Kobayashi R, Kurita S, Kitano K, Mizuseki K, Richmond B.J, Shinomoto S
    • Organizer
      ICMNS 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11560
  • [Presentation] Inferring the source of fluctuations in neuronal activity2018

    • Author(s)
      Shigeru Shinomoto and Kazuki Fujita
    • Organizer
      Neural Coding workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Inferring the source of fluctuations in neuronal activity2018

    • Author(s)
      Shigeru Shinomoto and Kazuki Fujita
    • Organizer
      Neural Coding workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06028
  • [Presentation] Estimation of synaptic connections from parallel spike trains2018

    • Author(s)
      Ryota Kobayashi, Shuhei Kurita, Katsunori Kitano, Kenji Mizuseki, Barry J. Richmond, Shigeru Shinomoto
    • Organizer
      Neural Coding workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Estimation of synaptic connections from parallel spike trains2018

    • Author(s)
      Ryota Kobayashi, Shuhei Kurita, Katsunori Kitano, Kenji Mizuseki, Barry J. Richmond, Shigeru Shinomoto
    • Organizer
      Neural Coding workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06028
  • [Presentation] Emergence of cascades in the linear and nonlinear Hawkes processes2017

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      BIRS workshop “Brain Dynamics and Statistics: Simulation versus Data”
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Inferring the origin of nonstationary fluctuation in event occurrences.2017

    • Author(s)
      Kazuki Fujita, Shinsuke Koyama, and Shigeru Shinomoto
    • Organizer
      Eighth International Workshop Statistical Analysis of Neuronal Data (SAND8)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Inferring the source of fluctuation in neuronal activity.2017

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      ICERM on Integrating Dynamics and Statistics in Neuroscience
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Emergence of cascades in the linear and nonlinear Hawkes processes2017

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      BIRS workshop “Brain Dynamics and Statistics: Simulation versus Data”
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06028
  • [Presentation] Criticality of dynamical epidemic burst spreading through inhomogeneous networks2017

    • Author(s)
      Shigeru Shinomoto and Tomokatsu Onaga
    • Organizer
      4th INCF Japan Node International Workshop
    • Place of Presentation
      RIKEN BSI
    • Year and Date
      2017-05-18
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Inferring the origin of nonstationary fluctuation in event occurrences.2017

    • Author(s)
      Kazuki Fujita, Shinsuke Koyama, and Shigeru Shinomoto
    • Organizer
      Eighth International Workshop Statistical Analysis of Neuronal Data (SAND8)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06028
  • [Presentation] Inferring the source of fluctuation in neuronal activity.2017

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      ICERM on Integrating Dynamics and Statistics in Neuroscience
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06028
  • [Presentation] Review of single spike train analyses2016

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Modeling Neural Activity 2 (MONA2)
    • Place of Presentation
      Waikoloa, Hawaii, US
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Relating neuronal firing to epidemics and tweets2015

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Mathematical Modeling and Statistical Analysis in Neuroscience
    • Place of Presentation
      Nice
    • Year and Date
      2015-09-08
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Criticality of dynamical epidemic burst spreading through a network of individuals2015

    • Author(s)
      Tomokatsu Onaga and Shigeru Shinomoto
    • Organizer
      NetSci 2015
    • Place of Presentation
      Zaragoza, Spain
    • Year and Date
      2015-06-01
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Criticality of dynamical epidemic burst spreading through a network of individuals2015

    • Author(s)
      Tomokatsu Onaga and Shigeru Shinomoto
    • Organizer
      Seventh International workshop Statistical Analysis of Neuronal Data (SAND7)
    • Place of Presentation
      Pittsburgh, USA
    • Year and Date
      2015-05-26
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Intrinsic fluctuation in networks of spiking neurons.2014

    • Author(s)
      Tomokatsu Onaga, Shigeru Shinomoto
    • Organizer
      Neural Coding 2014
    • Place of Presentation
      Versailles, France
    • Year and Date
      2014-10-09
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Bursting activity spreading through asymmetric interactions.2014

    • Author(s)
      Tomokatsu Onaga, Shigeru Shinomoto
    • Organizer
      Complex Networks 2014
    • Place of Presentation
      Marrakech, Morocco
    • Year and Date
      2014-11-24
    • Data Source
      KAKENHI-PUBLICLY-25115718
  • [Presentation] Intrinsic fluctuation in networks of spiking neurons.2014

    • Author(s)
      Tomokatsu Onaga, Shigeru Shinomoto
    • Organizer
      Neural Coding 2014
    • Place of Presentation
      Versailles, France
    • Year and Date
      2014-10-09
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-25115718
  • [Presentation] Bursting activity spreading through asymmetric interactions.2014

    • Author(s)
      Tomokatsu Onaga, Shigeru Shinomoto
    • Organizer
      Complex Networks 2014
    • Place of Presentation
      Marrakech, Morocco
    • Year and Date
      2014-11-24
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Inferring nonstationary input activities from non-Poisson firing of a neuron2012

    • Author(s)
      Shinomoto, S.
    • Organizer
      txt_番号 txt_著者名_雑誌論文 txt_論文標題 txt_雑誌名 txt_巻号 txt_発行年_雑誌論文 txt_ページ txt_査読の有無 txt_URL_雑誌論文 txt_DOI14 Shinomoto, S. Inferring nonstationary input activities from non-Poisson firing of a neuron Neural Coding workshop
    • Place of Presentation
      Prague, Czech
    • Year and Date
      2012-09-03
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Reading neuronal spike trains.2012

    • Author(s)
      Shinomoto, S
    • Organizer
      Invited talk at Japan-France Joint Symposium on Neural Dynamics and Plasticity
    • Place of Presentation
      Kyoto, Japan
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] How to use information on non-Poisson neuronal firing irregularity2012

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Sixth International workshop Statistical Analysis of Neuronal Data (SAND6)
    • Place of Presentation
      Pittsburgh USA
    • Invited
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] How to use information on non-Poisson neuronal firing irregularity2012

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Sixth International workshop Statistical Analysis of Neuronal Data (SAND6)
    • Place of Presentation
      Pittsburgh, USA
    • Year and Date
      2012-06-01
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-23115510
  • [Presentation] How to use information on non-Poisson neuronal firing irregularity.2012

    • Author(s)
      Shinomoto, S
    • Organizer
      Keynote lecture in Sixth International workshop Statistical Analysis of Neuronal Data (SAND6)
    • Place of Presentation
      Pittsburgh, USA
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Firing rate estimation and spike train variability2011

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Annual Computational Neuroscience Meeting CNS*2011
    • Place of Presentation
      Stockholm, Sweden
    • Year and Date
      2011-07-23
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] A state space method for decoding neuronal spiking signals2011

    • Author(s)
      Shinomoto, S.
    • Organizer
      European Conference on Mathematical and Theoretical Biology 2011
    • Place of Presentation
      Krakow, Poland
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Firing rate estimation and spike train variability2011

    • Author(s)
      Shinomoto, S.
    • Organizer
      Tutorial at Twentieth Annual Computational Neuroscience Meeting CNS*2011
    • Place of Presentation
      Stockholm, Sweden
    • Year and Date
      2011-07-23
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Firing rate estimation and spike train variability2011

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Annual Computational Neuroscience Meeting CNS*2011
    • Place of Presentation
      Stockholm, Sweden
    • Year and Date
      2011-07-23
    • Data Source
      KAKENHI-PUBLICLY-23115510
  • [Presentation] Defining the firing rate for a non-poissonian spike train2010

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      9th INTERNATIONAL NEURAL CODING WORKSHOP
    • Place of Presentation
      キプロス,リマソール(招待講演)
    • Year and Date
      2010-11-01
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Defining the firing rate for a non-poissonian spike train.2010

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      9th INTERNATIONAL NEURAL CODING WORKSHOP (NC2010)
    • Place of Presentation
      Limassol, Cyprus
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Characterizing neuronal firing with the rate and the irregularity.2010

    • Author(s)
      Shigeru Shinomoto, Hideaki Shimazaki, Takeaki Shimokawa
    • Organizer
      Neuro2010 Conference
    • Place of Presentation
      Kobe, Japan
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Defining the firing rate for a non-poissonian spike train.2010

    • Author(s)
      Shinomoto, S
    • Organizer
      9th INTERNATIONAL NEURAL CODING WORKSHOP (NC2010)
    • Place of Presentation
      Limassol,Cyprus
    • Year and Date
      2010-11-01
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Predicting spike times of any cortical neuron.2009

    • Author(s)
      Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto
    • Organizer
      Computational and Systems Neuroscience 2009
    • Place of Presentation
      Salt Lake, USA
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Made-to-order spiking neuron model for any cortical neurons2009

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Neural Coding 2009 International Workshop
    • Place of Presentation
      Tainan(台湾)
    • Year and Date
      2009-05-12
    • Data Source
      KAKENHI-PROJECT-20020012
  • [Presentation] Made-to-order spiking neuron model for any cortical neurons2009

    • Author(s)
      Shinomoto, S
    • Organizer
      Neural Coding 2009 International Workshop
    • Place of Presentation
      Tainan, Taiwan
    • Year and Date
      2009-05-12
    • Data Source
      KAKENHI-PROJECT-20300083
  • [Presentation] Endogenous fluctuation in neuronal firing rate.

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Mathematical Modeling and Statistical Analysis in Neuroscience
    • Place of Presentation
      Copenhagen, Denmark
    • Year and Date
      2014-06-02 – 2014-06-04
    • Invited
    • Data Source
      KAKENHI-PROJECT-26280007
  • [Presentation] Endogenous fluctuation in neuronal firing rate.

    • Author(s)
      Shigeru Shinomoto
    • Organizer
      Mathematical Modeling and Statistical Analysis in Neuroscience
    • Place of Presentation
      Copenhagen, Denmark
    • Year and Date
      2014-07-02 – 2014-07-04
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-25115718
  • 1.  小林 亮太 (70549237)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 14 results
  • 2.  Funahashi Shintaro (00145830)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 3.  AIHARA Kazuyuki (40167218)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  YAMADORI Atsushi (10030892)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  TSUKADA Minoru (80074392)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  SAKATA Hideo (10073066)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  FUJII Hiroshi (90065839)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  YOSHIKI KURAMOTO (40037247)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  外山 敬介 (90090505)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  中江 健 (70617472)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  WATANABE Kei
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  TANAKA Akio
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  MOCHIZUKI Kei
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 14.  Andreau Jorge Mario
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  SHIMA Keisetsu
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 16.  YOSHIYA Matsuzaka
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 17.  TSUBO Yasuhiro
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 18.  SHIN Yoshihiro
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 19.  虫明 元
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 20.  水関 健司
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 2 results
  • 21.  河野 憲二
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 22.  菅生 康子
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 23.  藤田 一郎
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 24.  小松 英彦
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 25.  田村 弘
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 26.  高橋 晋
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 27.  酒井 裕
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 28.  礒村 宜和
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 29.  筒井 健一郎
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 30.  古田 貴寛
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 31.  苅部 冬紀
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 32.  北野 勝則
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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