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Predicting human behavior by combining brain and behavioral measurements

Research Project

Project/Area Number 19K20355
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 61030:Intelligent informatics-related
Research InstitutionInstitute of Physical and Chemical Research

Principal Investigator

Morioka Hiroshi  国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員 (20739552)

Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords機械学習 / 計算神経科学 / 時系列予測 / 非線形解析 / 深層学習
Outline of Research at the Start

本研究は,従来困難であるとされてきた行動計測(カメラなど)からのヒトの未来状態(位置や姿勢)予測問題に対し,新たに行動・脳計測を融合し,それら統計的性質の異なる二つの計測モダリティからの統合的なダイナミクス解析手法を開発することで,これまで捉えることが困難だった,ヒトの「潜在的な行動意思」に基づいた未来状態予測を実現し,その予測精度の飛躍的な向上を目指すものである.

Outline of Final Research Achievements

We developed a novel analysis framework for general nonlinear dynamics. The conventional frameworks generally assumed linear dynamics or additive innovation models, which can be restrictive for their applications to complex dynamics including the human brain. Our new framework, unsupervised representation learning based on deep learning with theoretical justification, is designed for such general dynamical models, and gives very general tools for analyzing them.

Academic Significance and Societal Importance of the Research Achievements

一般形の非線形ダイナミクスは不定性が高いことが知られており,同定性を保証した解析法はこれまで存在しなかった.提案法はそのような一般形非線形ダイナミクスの解析を理論的な保証を与えた上で実現するものであり,大きな学術的意義がある.また,提案法は汎用性の高いものであり,様々な対象に広く適用可能なものである.今後様々な理論的拡張が考えられるなど,社会的意義も大きい.

Report

(4 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • Research Products

    (13 results)

All 2021 2020 2019 Other

All Int'l Joint Research (5 results) Journal Article (2 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 2 results,  Open Access: 2 results) Presentation (6 results) (of which Int'l Joint Research: 5 results,  Invited: 2 results)

  • [Int'l Joint Research] ヘルシンキ大学(フィンランド)

    • Related Report
      2021 Annual Research Report
  • [Int'l Joint Research] University of Helsinki(フィンランド)

    • Related Report
      2020 Research-status Report
  • [Int'l Joint Research] Georgia State University(米国)

    • Related Report
      2020 Research-status Report
  • [Int'l Joint Research] University of Helsinki(フィンランド)

    • Related Report
      2019 Research-status Report
  • [Int'l Joint Research] Georgia State University(米国)

    • Related Report
      2019 Research-status Report
  • [Journal Article] Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits2020

    • Author(s)
      Morioka Hiroshi、Calhoun Vince、Hyvarinen Aapo
    • Journal Title

      NeuroImage

      Volume: 218 Pages: 116989-116989

    • DOI

      10.1016/j.neuroimage.2020.116989

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability2020

    • Author(s)
      Nishimoto Takashi、Higashi Hiroshi、Morioka Hiroshi、Ishii Shin
    • Journal Title

      Journal of Neural Engineering

      Volume: 17 Issue: 2 Pages: 026007-026007

    • DOI

      10.1088/1741-2552/ab6d89

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] 非線形独立成分分析による教師なし特徴抽出とその応用2021

    • Author(s)
      森岡博史
    • Organizer
      日本バイオインフォマティクス学会(IIBMP2021)
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Independent Innovation Analysis for Nonlinear Vector Autoregressive Process2021

    • Author(s)
      Hiroshi Morioka, Hermanni Halva, Aapo Hyvarinen
    • Organizer
      International Conference on Artificial Intelligence and Statistics (AISTATS2021)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019

    • Author(s)
      Hiroshi Morioka
    • Organizer
      3rd Japanese Meeting for Human Brain Imaging
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019

    • Author(s)
      Hiroshi Morioka
    • Organizer
      Neuro-inspired AI Workshop
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019

    • Author(s)
      Hiroshi Morioka
    • Organizer
      Brainstorming on Primate Connectome 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019

    • Author(s)
      Hiroshi Morioka
    • Organizer
      次世代脳プロジェクト冬のシンポジウム2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research

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Published: 2019-04-18   Modified: 2023-01-30  

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