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Development of Mathematical Models for Brain Systems Generating Individuality and Statistical Data Analysis

Planned Research

Project AreaIntegrative research toward elucidation of generative brain systems for individuality
Project/Area Number 16H06533
Research Category

Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

Allocation TypeSingle-year Grants
Review Section Complex systems
Research InstitutionThe University of Tokyo

Principal Investigator

KOMAKI Fumiyasu  東京大学, 大学院情報理工学系研究科, 教授 (70242039)

Co-Investigator(Kenkyū-buntansha) 松田 孟留  国立研究開発法人理化学研究所, 脳神経科学研究センター, ユニットリーダー (50808475)
Project Period (FY) 2016-06-30 – 2021-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥58,630,000 (Direct Cost: ¥45,100,000、Indirect Cost: ¥13,530,000)
Fiscal Year 2020: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2019: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2018: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2017: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
Fiscal Year 2016: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Keywordsベイズ統計 / 点過程 / 時系列解析 / スパイクソーティング / 数理モデル / 統計モデル
Outline of Final Research Achievements

We constructed statistical models of the brain system and developed data analysis methods based on the models. In particular, the methods developed for analyzing univariate and multivariate time series data and point process data related to the brain system were reported at international conferences, and papers were published. Other research groups are using the newly developed methods. In addition, we have conducted joint research on data analysis using the newly developed methods and published a paper on new findings in brain systems.

Academic Significance and Societal Importance of the Research Achievements

脳のような複雑なシステムから生成されたデータは,従来のシンプルな手法でデータ解析を行うことが適切でないことが多い.特に,脳システムは個性をもつため,個性を考慮しないデータ解析を行うと適切に情報を抽出できないことが大きな課題であった.本課題で研究を進めた,統計モデル・数理モデルとそれに基づくデータ解析手法は,従来,研究者の裁量が入っていた解析手法に代わり,よりデータドリブンで柔軟な解析を可能にするものである.特に,脳システムに関連する1変量および多変量の時系列データと点過程データの解析のために開発した手法は,柔軟性・汎用性があり国内外で利用されるようになっている.

Report

(6 results)
  • 2022 Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • 2016 Annual Research Report
  • Research Products

    (46 results)

All 2023 2022 2021 2020 2019 2018 2017 Other

All Journal Article (24 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 24 results,  Open Access: 22 results,  Acknowledgement Compliant: 1 results) Presentation (17 results) (of which Int'l Joint Research: 17 results,  Invited: 4 results) Book (1 results) Remarks (4 results)

  • [Journal Article] Enriched standard conjugate priors and the right invariant prior for Wishart distributions2023

    • Author(s)
      Oda Hidemasa、Komaki Fumiyasu
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 193 Pages: 105105-105105

    • DOI

      10.1016/j.jmva.2022.105105

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A correlation-shrinkage prior for Bayesian prediction of the two-dimensional Wishart model2022

    • Author(s)
      Tomonari Sei, Fumiyasu Komaki
    • Journal Title

      Biometrika

      Volume: - Issue: 4 Pages: 1173-1180

    • DOI

      10.1093/biomet/asac006

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Oscillator decomposition of infant fNIRS data2022

    • Author(s)
      Matsuda, T., Homae, F., Watanabe, H., Taga, G., & Komaki, F.
    • Journal Title

      PLoS computational biology

      Volume: - Issue: 3 Pages: 1-31

    • DOI

      10.1371/journal.pcbi.1009985

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Minimax predictive density for sparse count data2021

    • Author(s)
      Yano Keisuke、Kaneko Ryoya、Komaki Fumiyasu
    • Journal Title

      Bernoulli

      Volume: 27 Issue: 2 Pages: 1212-1238

    • DOI

      10.3150/20-bej1271

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Shrinkage priors for single-spiked covariance models2021

    • Author(s)
      Okudo Michiko、Komaki Fumiyasu
    • Journal Title

      Statistics & Probability Letters

      Volume: 176 Pages: 109127-109127

    • DOI

      10.1016/j.spl.2021.109127

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Shrinkage Priors on Complex-Valued Circular- Symmetric Autoregressive Processes2021

    • Author(s)
      Oda Hidemasa、Komaki Fumiyasu
    • Journal Title

      IEEE Transactions on Information Theory

      Volume: 67 Issue: 8 Pages: 5318-5333

    • DOI

      10.1109/tit.2021.3079512

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Statistical modeling for temporal dominance of sensations data incorporating individual characteristics of panelists: an application to data of milk chocolate2021

    • Author(s)
      Sumito Kurata,Reiko Kuroda,Fumiyasu Komaki
    • Journal Title

      Journal of Food Science and Technology

      Volume: - Issue: 6 Pages: 2420-2428

    • DOI

      10.1007/s13197-021-05260-9

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Shrinkage Priors for Nonparametric Bayesian Prediction of Nonhomogeneous Poisson Processes2021

    • Author(s)
      Komaki Fumiyasu
    • Journal Title

      IEEE Transactions on Information Theory

      Volume: 67 Issue: 8 Pages: 5305-5317

    • DOI

      10.1109/tit.2021.3084062

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Information criteria for non-normalized models2021

    • Author(s)
      Matsuda Takeru, Uehara Masatoshi, Aapo Hyvarinen
    • Journal Title

      Journal of Machine Learning Research

      Volume: 22

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] T. Matsuda and W. E. Strawderman2021

    • Author(s)
      Predictive density estimation under the Wasserstein loss
    • Journal Title

      Journal of Statistical Planning and Inference

      Volume: 210 Pages: 53-63

    • DOI

      10.1016/j.jspi.2020.05.005

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Adjacency-based regularization for partially ranked data with non-ignorable missing2020

    • Author(s)
      Kento Nakamura, Keisuke Yano, and Fumiyasu Komaki
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 145 Pages: 106905-106905

    • DOI

      10.1016/j.csda.2019.106905

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Bayes extended estimators for curved exponential families2020

    • Author(s)
      Okudo Michiko、 Komaki Fumiyasu
    • Journal Title

      IEEE Transactions on Information Theory

      Volume: 67 Pages: 1088-1098

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Deconvolution of calcium imaging data using marked point processes2020

    • Author(s)
      Ryohei Shibue,Fumiyasu Komaki
    • Journal Title

      PLOS Computational Biology

      Volume: 16(3) Issue: 3 Pages: e1007650-e1007650

    • DOI

      10.1371/journal.pcbi.1007650

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Paired comparison models with age effects modeled as piecewise quadratic splines2019

    • Author(s)
      Araki Kenji、Hirose Yoshihiro、Komaki Fumiyasu
    • Journal Title

      International Journal of Forecasting

      Volume: 35 Issue: 2 Pages: 733-740

    • DOI

      10.1016/j.ijforecast.2018.02.006

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Empirical Bayes matrix completion2019

    • Author(s)
      T. Matsuda and F. Komaki
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 137 Pages: 195-210

    • DOI

      10.1016/j.csda.2019.02.006

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Scoring rules for statistical models on spheres2018

    • Author(s)
      Takasu Y., Yano K., Komaki, F.
    • Journal Title

      Statistics & Probability Letters

      Volume: 138 Pages: 111-115

    • DOI

      10.1016/j.spl.2018.02.054

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Second-order matching prior family parametrized by sample size and matching probability2018

    • Author(s)
      Toyoto Tanaka, Yoshihiro Hirose, Fumiyasu Komaki
    • Journal Title

      Statistical Papers

      Volume: 印刷中 Issue: 4 Pages: 1701-1717

    • DOI

      10.1007/s00362-018-1001-5

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Information criteria for prediction when the distributions of current and future observations differ2017

    • Author(s)
      Keisuke Yano and Fumiyasu Komaki
    • Journal Title

      Statistica Sinica

      Volume: 印刷中 Pages: 1205-1223

    • DOI

      10.5705/ss.202015.0380

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Multivariate time series decomposition into oscillation components2017

    • Author(s)
      Matsuda, T. and Komaki
    • Journal Title

      Neural Computation

      Volume: 29 Pages: 2055-2075

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Asymptotically minimax prediction in infinite sequence models2017

    • Author(s)
      Yano, K. and Komaki, F
    • Journal Title

      Electronic Journal of Statistics

      Volume: 11 Issue: 2 Pages: 3165-3195

    • DOI

      10.1214/17-ejs1312

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Firing rate estimation using infinite mixture models and its application to neural decoding.2017

    • Author(s)
      Shibue R, Komaki F:
    • Journal Title

      Journal of Neurophysiology

      Volume: 118 Issue: 5 Pages: 2902-2913

    • DOI

      10.1152/jn.00818.2016

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Minimax estimation of quantum states based on the latent information priors2017

    • Author(s)
      Koyama, T., Matsuda, T. and Komaki, F.
    • Journal Title

      Entropy

      Volume: 19 Issue: 11 Pages: 618-618

    • DOI

      10.3390/e19110618

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A point process modeling approach for investigating the effect of online brain activity on perceptual switching,2017

    • Author(s)
      Matsuda, T., Kitajo, K., Yamaguchi, Y., and Komaki, F.
    • Journal Title

      NeuroImage

      Volume: 152 Pages: 50-59

    • DOI

      10.1016/j.neuroimage.2017.02.068

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Time series decomposition into oscillation components and phase estimation2017

    • Author(s)
      Matsuda, T. and Komaki, F.
    • Journal Title

      Neural Computation

      Volume: 29 Issue: 2 Pages: 332-367

    • DOI

      10.1162/neco_a_00916

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed
  • [Presentation] Michiko Okudo,Fumiyasu Komaki2022

    • Author(s)
      Bayes extended estimators with shrinkage priors for multivariate normal models
    • Organizer
      EcoSta2022
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Predictions for the gamma distribution model and information geometry of Levy measures2022

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      CMStatistics2022
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Information geometry of predictive densities and its application to Poisson-based models2021

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      EAC-ISBA2021(Hybrid)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Shrinkage priors on complex-valued Gaussian processes2021

    • Author(s)
      Hidemasa Oda,Fumiyasu Komaki
    • Organizer
      EcoSta2021
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Tomonari Sei and Fumiyasu Komaki2021

    • Author(s)
      A correlation-shrinkage prior for the 2-dimensional Wishart model
    • Organizer
      CMStatistics2021
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On statistical methods for TDS data analysis: Consideration about characteristics of each panelist and each taste2020

    • Author(s)
      Sumito Kurata, Reiko Kuroda, Fumiyasu Komaki
    • Organizer
      Sensometrics 2020
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Shrinkage priors for nonparametric Bayesian prediction of nonhomogeneous Poisson processes2019

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      New and Evolving Roles of Shrinkage in Large-Scale Prediction and Inference (19w5188)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] A class of tractable predictive densities for curved exponential families2019

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      Symposium in Memory of Charles Stein
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Numerical computation of the higher order central moments of the multivariate normal distribution2018

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      Ecosta2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Statistical verification of the common oscillatory behaviors in oxy-Hb and deoxy-Hb time series2018

    • Author(s)
      Takeru Matsuda, Fumitaka Homae, Hama Watanabe, Gentaro Taga and Fumiyasu Komaki
    • Organizer
      fNIRS2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Improper priors for nonparametric Bayes estimation of Poisson intensity functions2018

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      CMStatistics2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Information geometηof predictive densities and its application to Poisson regression Speaker2017

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      LICAS2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Neural decoding based on an infinite mixture model2017

    • Author(s)
      Ryohei Shibue, Fumiyasu Komaki
    • Organizer
      EcoSta2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Shrinkage Priors for Poisson-Based Models and Their Applications2017

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      JSM2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A predictive approach to statistical problems with multiplicity2017

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      CMStatistics2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Information Geometry of predictive densities and its application to Poisson regression2017

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      Lilac International Conference of Application on Statistics (LICAS 2017)
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Shrinkage Priors for Poisson-Based Models and Their Applications2017

    • Author(s)
      Fumiyasu Komaki
    • Organizer
      Joint Statistical Meetings 2017(JSM2017)
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Book] 個性学入門2021

    • Author(s)
      保前 文高、大隅 典子
    • Total Pages
      244
    • Publisher
      朝倉書店
    • ISBN
      425410295X
    • Related Report
      2020 Annual Research Report
  • [Remarks] 駒木文保/Fumiyasu Komaki

    • URL

      http://www.stat.t.u-tokyo.ac.jp/~komaki/index-j.html

    • Related Report
      2020 Annual Research Report
  • [Remarks] 駒木文保/Fumiyasu Komaki

    • URL

      http://www.stat.t.u-tokyo.ac.jp/~komaki/index-j.html

    • Related Report
      2018 Annual Research Report
  • [Remarks] H28年度採択新学術領域 「個性」創発脳

    • URL

      http://www.koseisouhatsu.jp/index.html

    • Related Report
      2017 Annual Research Report
  • [Remarks] H28年度採択新学術領域 「個性」創発脳

    • URL

      http://www.koseisouhatsu.jp/index.html

    • Related Report
      2016 Annual Research Report

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Published: 2016-07-04   Modified: 2024-01-30  

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