Rchr
J-GLOBAL ID：201101079916202093
Update date: Mar. 25, 2024
Suetani Hiromichi
Suetani Hiromichi
Affiliation and department：
Research field (1)：
Soft computing
Research keywords (2)：
包括脳ネットワーク
, 脳情報の解読と制御
Research theme for competitive and other funds (18)：
- 2022 - 2026 International Joint Research for the Construction of the Foundation of Critical Computational Systems as Non-Autonomous Dynamical Systems
- 2023 - 2025 視覚計算理論と計算トポロジーの融合による自己駆動粒子集団の記述
- 2022 - 2025 Machine learning of high-dimensional life dynamics time series for reduction to low-dimensional systems and its application to controlling problems
- 2022 - 2024 Development of a new topological data analysis by integration with computational vision theory
- 2020 - 2022 Acquisition of Mathematical Concepts Through Neural Integration of Synchronic Informations in Cognitive Experiences
- 2019 - 2022 Neural computation principle based on "stable chaos"; Toward understanding the dynamical aspects of visual attention
- 2019 - 2021 Characteristics of developmental disorders revealed by analyzing noise-induced EEG dynamics
- 2018 - 2020 A reservoir computing approach for the universality and individuality of human brain oscillations
- 2018 - 2020 A mathematical approach for Hebb's "phase sequence" scenario as chaotic self-organized criticality
- 2016 - 2020 A mathematical approach to decoding biological environment inside the brain using imaging mass spectrometry
- 2016 - 2019 Novel characterization of rare events in dynamic data and its application to biological time series
- 2015 - 2019 脳波ダイナミクスによる個人認証と個性の分類
- 2016 - 2018 Dynamical structure of memory and learning: an approach based on reservoir computing
- 2013 - 2018 Nonlinear sparse modeling for high dimensional data by kernel methods
- 2012 - 2014 Recognition of the future brought about by the acquisition of anticipating synchronization: a dynamical systems approach to the subjectivity of life
- 2011 - 2014 Consistency of human brain response in perception-action coupling
- 2008 - 2014 多様体学習による脳情報表現とそのBMI技術への応用
- 2010 - 2011 Model Reduction for High-dimensional Nonlinear Chaotic Dynamical Systems Based on Kernel Multivariate Analysis
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Papers (35)：
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Hiromichi Suetani. Exploration of universality and individuality in human EEG: A reservoir computing approach. Workshop Biosignals 2024, Göttingen. 2024
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Hiromichi Suetani, Keiichi Kitajo. Exploring Individuality in Human EEG Using Reservoir Computing. Artificial Neural Networks and Machine Learning - ICANN 2023. 2023. 551-555
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Ayaka Hoshi, Yuya Hirayama, Fumihiro Saito, Tatsuji Ishiguro, Hiromichi Suetani, Keiichi Kitajo. Spatiotemporal consistency of neural responses to repeatedly presented video stimuli accounts for population preferences. Scientific Reports. 2023. 13. 1
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Hiroshi Fujisaki, Hiromichi Suetani, Luca Maragliano, Ayori Mitsutake. Non-Markov type analysis and diffusion map analysis for molecular dynamics trajectory of chignolin at a high temperature. Life. 2022. 12. 1188 (12 pages)
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Takashi Imai, Hiromichi Suetani, Toshio Aoyagi. On the Phase Description of Chaotic Oscillators. Journal of the Physical Society of Japan. 2022. 91. 014001 (6 pages)
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MISC (51)：
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藤崎弘士, 森次圭, 松永康佑, 山本典史, 末谷大道. Kinetics of conformational changes of proteins calculated by manifold learning. 日本物理学会講演概要集(CD-ROM). 2021. 76. 2
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藤崎弘士, 森次圭, 末谷大道. 重み付きアンサンブル法を用いたタンパク質のパスサンプリング. 日本物理学会講演概要集(CD-ROM). 2017. 72. 2
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Fujisaki Hiroshi, Suetani Hiromichi, Mitsutake Ayori. How can we extract reaction coordinates from molecular dynamics simulations of biomolecules?. Meeting Abstracts of the Physical Society of Japan. 2017. 72. 0. 3237-3237
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Soejima Karin, Matsuoka Rei, Suetani Hiromichi, Hata Hiroki. 19aPSA-11 Experimental Observation of Dripping Faucet. Meeting abstracts of the Physical Society of Japan. 2012. 67. 2. 247-247
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Suetani Hiromichi, Ideta Aiko, Morimoto Jun. 25aAG-14 Feature Extraction of Value Function in Reinforcement Learning and Controlling Biped Walkers. Meeting abstracts of the Physical Society of Japan. 2012. 67. 1. 313-313
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Lectures and oral presentations (14)：
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Generation of persistent memory using stable chaos in random neural networks
(DPG Spring Meetings 2024 2024)
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外場でドライブされた自己駆動粒子集団が表現する情報処理能力
(日本物理学会2024年春季大会 2024)
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外部摂動下のランダム神経回路網における入力誘起アトラクターの構造と神経臨界性の探索
(日本物理学会2024年春季大会 2024)
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Exploring neural criticality through the structure of input-induced attractors in random neural networks under external perturbations
(DPG Spring Meetings 2024 2024)
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Exploration of universality and individuality in human EEG: A reservoir computing approach
(Workshop Biosignals 2024 2024)
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Education (5)：
- 1998 - 2001 京都大学大学院博士課程 情報学研究科 複雑系科学専攻
- 2000 - 2001 The Institute of Statistical Mathematics
- 1996 - 1998 東京大学大学院修士課程 工学系研究科 計数工学専攻
- 1994 - 1996 The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics
- 1992 - 1994 The University of Tokyo College of Arts and Sciences
Professional career (1)：
Work history (12)：
- 2022/09 - 現在 Affiliated Faculty, International Research Center for Neurointelligence, The University of Tokyo
- 2017/04 - 現在 Oita University Faculty of Science and Technology , Department of Integrated Science and Technology
- 2017/04 - 2022/03 理化学研究所脳神経科学研究センター(旧BSI) 客員研究員
- 2015/08 - 2018/03 ATR 客員研究員
- 2015/03 - 2017/03 Oita University
- 2008/03 - 2015/02 鹿児島大学大学院理工学研究科 物理・宇宙専攻 准教授
- 2013/04 - 2014/03 Hiroshima University
- 2008/09 - 2014/03 JSTさきがけ研究者(兼任)
- 2004/04 - 2008/02 東京大学生産技術研究所 民間等共同研究員
- 2004/04 - 2008/02 科学技術振興機構 ERATO合原複雑数理モデルプロジェクト 研究員
- 2003/10 - 2004/03 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering, Department of Electronic Chemistry
- 2001/10 - 2003/09 NTTコミュニケーション基礎科学研究所 知能情報研究部 リサーチアソシエイト
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Association Membership(s) (3)：
Society for Neuroscience
, THE JAPAN NEUROSCIENCE SOCIETY
, 日本物理学会
