MORIOKA Hiroshi 森岡博史

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Morioka Hiroshi 森岡博史

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Researcher Number	20739552
Other IDs
Affiliation (Current)	2025: 滋賀大学, データサイエンス学系, 准教授 2025: 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, 連携研究員 2025: 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, 研究員
Affiliation (based on the past Project Information) *help	2022 – 2024: 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, 研究員 2019 – 2021: 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 2018 – 2021: 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, 連携研究員
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (IV) / Basic Section 61030:Intelligent informatics-related / Complex systems Except Principal Investigator Medium-sized Section 61:Human informatics and related fields
Keywords	Principal Investigator 機械学習 / 深層学習 / 因果探索 / 非線形解析 / 教師なし表現学習 / 計算神経科学 / 非線形モデル / 非線形階層モデル / ソフトコンピューティング / 脳科学 / 人工知能 / 時系列予測 … More Except Principal Investigator … More 転移学習 / 脳波情報解析法 / 集中時脳状態 / 脳イメージング / 人間情報学 Less

巡回因果表現学習による脳の予測行動原理の解明Principal Investigator
- Principal Investigator
  
  森岡博史
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  Institute of Physical and Chemical Research
非線形因果探索法の開発による脳内情報伝搬の理解Principal Investigator
- Principal Investigator
  
  森岡博史
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Physical and Chemical Research
非線形階層表現学習による集団ナビゲーション数理構造の解明Principal Investigator
- Principal Investigator
  
  森岡博史
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  Institute of Physical and Chemical Research
Predicting human behavior by combining brain and behavioral measurementsPrincipal Investigator
- Principal Investigator
  
  Morioka Hiroshi
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Physical and Chemical Research
非線形ダイナミカル表現学習法の開発による脳の理解と予測Principal Investigator
- Principal Investigator
  
  森岡博史
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Complex systems
- Research Institution
  Institute of Physical and Chemical Research
Decoding of brain states during time of concentration based on multi-modal brain imaging
- Principal Investigator
  
  KAWANABE Motoaki
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  Advanced Telecommunications Research Institute International

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning2023
- Author(s)
  Aapo Hyvarinen, Ilyes Khemakhem, and Hiroshi Morioka
- Journal Title
  
  Patterns
  
  Volume: 4 Issue: 10 Pages: 100844-100844
- DOI
  10.1016/j.patter.2023.100844
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17956, KAKENHI-PUBLICLY-22H05666
[Journal Article] Independent innovation analysis for nonlinear vector autoregressive process2021
- Author(s)
  Hiroshi Morioka, Hermanni Halva, Aapo Hyvarinen
- Journal Title
  
  Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research Series)
  
  Volume: 130 Pages: 1549-1557
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18KK0284
[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
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K16894, KAKENHI-PROJECT-19K20355, KAKENHI-PUBLICLY-19H05000, KAKENHI-PLANNED-17H06310, KAKENHI-PROJECT-19H04180
[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
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20355, KAKENHI-PROJECT-18KK0284, KAKENHI-PUBLICLY-19H05000
[Presentation] Causal Representation Learning Made Identifiable by Grouping of Observational Variables2024
- Author(s)
  Hiroshi Morioka and Aapo Hyvarinen
- Organizer
  The 41st International Conference on Machine Learning (ICML2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H05666
[Presentation] Causal Representation Learning Made Identifiable by Grouping of Observational Variables2024
- Author(s)
  Hiroshi Morioka and Aapo Hyvarinen
- Organizer
  The 41st International Conference on Machine Learning (ICML2024)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17956
[Presentation] Connectivity-Contrastive Learning: Combining Causal Discovery and Representation Learning for Multimodal Data2023
- Author(s)
  Hiroshi Morioka and Aapo Hyvarinen
- Organizer
  The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17956
[Presentation] Connectivity-Contrastive Learning: Combining Causal Discovery and Representation Learning for Multimodal Data2023
- Author(s)
  Hiroshi Morioka and Aapo Hyvarinen
- Organizer
  The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H05666
[Presentation] Discussions about Prof. Aapo Hyvarinen's lecture2022
- Author(s)
  Hiroshi Morioka
- Organizer
  The 4th Akaike Memorial Lecture
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17956
[Presentation] Discussions about Prof. Aapo Hyvarinen's lecture2022
- Author(s)
  Hiroshi Morioka
- Organizer
  The 4th Akaike Memorial Lecture
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-22H05666
[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）
- Invited
- Data Source
  KAKENHI-PROJECT-19K20355
[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)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20355
[Presentation] Independent Innovation Analysis for Nonlinear Vector Autoregressive Process2021
- Author(s)
  Hiroshi Morioka, Hermanni Halva;, and Aapo Hyvarinen
- Organizer
  Artificial Intelligence and Statistics (AISTATS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18KK0284
[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)
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H05000
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  3rd Japanese Meeting for Human Brain Imaging
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20355
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  Neuro-inspired AI Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20355
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  Brainstorming on Primate Connectome 2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20355
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  Neuro-inspired AI Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H05000
[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
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H05000
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  Brainstorming on Primate Connectome 2019
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H05000
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  3rd Japanese Meeting for Human Brain Imaging
- Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H05000
[Presentation] Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning2019
- Author(s)
  Hiroshi Morioka
- Organizer
  3rd Japanese Meeting for Human Brain Imaging
- Data Source
  KAKENHI-PROJECT-18KK0284
[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
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20355

1. KAWANABE Motoaki (30272389)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 小川剛史 (10614323)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 平山淳一郎 (80512269)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 東広志

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

MORIOKA Hiroshi 森岡 博史

Morioka Hiroshi 森岡 博史

Research Projects

Research Products

Co-Researchers

巡回因果表現学習による脳の予測行動原理の解明Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

非線形因果探索法の開発による脳内情報伝搬の理解Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

非線形階層表現学習による集団ナビゲーション数理構造の解明Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Predicting human behavior by combining brain and behavioral measurementsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

非線形ダイナミカル表現学習法の開発による脳の理解と予測Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Decoding of brain states during time of concentration based on multi-modal brain imaging

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Independent innovation analysis for nonlinear vector autoregressive process2021

Author(s)

Journal Title

Data Source

[Journal Article] EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Causal Representation Learning Made Identifiable by Grouping of Observational Variables2024

Author(s)

Organizer

Data Source

[Presentation] Causal Representation Learning Made Identifiable by Grouping of Observational Variables2024

Author(s)

Organizer

Data Source

[Presentation] Connectivity-Contrastive Learning: Combining Causal Discovery and Representation Learning for Multimodal Data2023

Author(s)

Organizer

Data Source

[Presentation] Connectivity-Contrastive Learning: Combining Causal Discovery and Representation Learning for Multimodal Data2023

Author(s)

Organizer

Data Source

[Presentation] Discussions about Prof. Aapo Hyvarinen's lecture2022

Author(s)

Organizer

Data Source

MORIOKA Hiroshi 森岡博史

Morioka Hiroshi 森岡博史