Personnel Information

写真a

YOKOYAMA Hiroshi


Title

Assistant professor

Field

Field of Data Science

Date of Birth

1990

Mail Address

E-mail address

Profile

My primary research interest is to deepen understanding of the functional role of neural dynamics related to cognition, emotion, and behavioral performance in humans by using a data-driven modeling method. With the recent development of data science technology, although computational and applied neuroscience studies on humans have attracted growing attention with various approaches, there is a huge gap between theoretical evidence and practice in social implementation. The main reason for the gap is that efficient and robust analytical methodology in a data-driven manner to interpret brain mechanisms behind measurement data has not been established. To quantitatively understand the functional mechanism in the human brain from measured neurological data, we should develop a robust analytical method to interpret the functional role in the time-evolving dynamics of a functional network of the human brain in a data-driven manner. To tackle the issue and make a breakthrough for the social implementation of applied neuroscience technology, I am engaged in the neural engineering study to develop new technology to quantitatively interpret the neural mechanism of humans by using data-driven modeling and a data-assimilation approach as my life work.

Seeds

https://www.shiga-u.ac.jp/wp/wp-content/uploads/seeds17-2023-9.pdf

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Research Interests 【 display / non-display 】

  • Data assimilation

  • data-driven modeling

  • Information engineering

  • Neural engineering

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Graduating School 【 display / non-display 】

  • Nagaoka University of Technology， Graduate School of Engineering， Integrated Bioscience and Technology Program

    University， 2018.03， Graduated， Japan

  • Nagaoka University of Technology， Graduate School of Engineering， Department of Electrical, Electronics and Information Engineering

    University， 2015.03， Graduated， Japan

  • Nagaoka University of Technology， Bachelor of Engineering

    University， 2013.03， Graduated， Japan

  • National Institute of Technology, Maizuru College， Department of Control Engineering

    University， 2011.03， Graduated， Japan

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Degree 【 display / non-display 】

  • Ph.D. in Engineering， Informatics / Intelligent informatics， Nagaoka University of Technology， Coursework， 2018.12

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Campus Career 【 display / non-display 】

  • Shiga University Data Science and AI Innovation Research Promotion Center，Assistant professor， 2023.06 - Now

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External Career 【 display / non-display 】

  • National Institute for Physiological Sciences Division of Neural Dynamics， Visiting researcher， 2022.06 - Now

  • National Institute for Physiological Sciences Division of Neural Dynamics, Department of System Neuroscience， Project Assistant Professor， 2019.08 - 2022.05

  • RIKEN CBS-OMRON Collaboration Center， Researcher， 2018.12 - 2019.03

  • Centan, Inc. (a macromill group) N/A， Researcher， 2018.11 - 2019.07

  • RIKEN CBS-OMRON Collaboration Center， Researcher， 2018.04 - 2018.11

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Association Memberships 【 display / non-display 】

  • Japanese Society for Mathematical Biology， 2022.07 - Now

  • The Japan Neurocience Society

  • Society for Neuroscience

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Research Areas 【 display / non-display 】

  • Informatics / Statistical science

  • Informatics / Human interface and interaction

  • Informatics / Intelligent informatics

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Papers 【 display / non-display 】

  • A data assimilation method to track excitation-inhibition balance change using scalp EEG， Communications Engineering， vol.2 (92) ， 2023.12, Hiroshi Yokoyama, Keiichi Kitajo

    DOI:10.1038/s44172-023-00143-7, Research paper (scientific journal)， Multiple Authorship

    Authorship：Lead author,　Corresponding author  

  • Detecting changes in dynamical structures in synchronous neural oscillations using probabilistic inference， NeuroImage， vol.252 (p.119052) ， 2022.03, Hiroshi Yokoyama, Keiichi Kitajo

    DOI:10.1016/j.neuroimage.2022.119052, Research paper (scientific journal)， Multiple Authorship

    Authorship：Lead author,　Corresponding author  

  • Investigation of isochrony phenomenon based on the computational theory of human arm trajectory planning.， Human movement science， vol.61 (p.52 - 62) ， 2018.10, Hiroshi Yokoyama, Hiashi Saito, Rie Kurai, Isao Nambu, Yasuhiro Wada

    DOI:10.1016/j.humov.2018.07.001, Research paper (scientific journal)， Multiple Authorship

    Authorship：Lead author,　Corresponding author  

  • Alpha Phase Synchronization of Parietal Areas Reflects Switch-Specific Activity During Mental Rotation: An EEG Study.， Frontiers in human neuroscience， vol.12 (p.259) ， 2018, Hiroshi Yokoyama, Isao Nambu, Jun Izawa, Yasuhiro Wada

    DOI:10.3389/fnhum.2018.00259, Research paper (scientific journal)， Multiple Authorship

    Authorship：Lead author,　Corresponding author  

  • Prediction of individual finger movements for motor execution and imagery : An EEG Study， 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017， vol.2017- (p.3020 - 3023) ， 2017.11, Tetsuro Hayashi, Hiroshi Yokoyama, Isao Nambu, Yasuhiro Wada

    DOI:10.1109/SMC.2017.8123088, Research paper (international conference proceedings)， Multiple Authorship

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Review Papers 【 display / non-display 】

  • Effect of Acquaintance on Inter-Brain EEG Synchronization， The Japanese Psychological Association， The Proceedings of the Annual Convention of the Japanese Psychological Association， vol.83 (p.2A - 043) ， 2019.09, Yuto Kurihara, Hiroshi Yokoyama, Shuntaro Okazaki, Rieko Osu

    DOI:10.4992/pacjpa.83.0_2a-043, , Multiple Authorship

  • Prediction of individual finger movements by EEG for motor execution and imagery， vol.116 (520) (p.9 - 14) ， 2017.03, Tetsuro Hayashi, Hiroshi Yokoyama, Isao Nambu, Yasuhiro Wada

    , Multiple Authorship

  • Study on temporal brain activity of motor imagery in mental rotation task， The Institute of Electronics, Information and Communication Engineers， IEICE technical report. ME and bio cybernetics， vol.114 (514) (p.183 - 188) ， 2015.03, YOKOYAMA Hiroshi, NAMBU Isao, IZAWA Jun, WADA Yasuhiro

    , Multiple Authorship

  • Study on temporal strategies of event-related desynchronization during task switching， The Institute of Electronics, Information and Communication Engineers， IEICE technical report. ME and bio cybernetics， vol.113 (499) (p.151 - 156) ， 2014.03, YOKOYAMA Hiroshi, NAMBU Isao, IZAWA Jun, WADA Yasuhiro

    , Multiple Authorship

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Presentations 【 display / non-display 】

  • The 53rd NIPS International Symposium Neural Dynamics and Information Processing in the Brain and Body, ， 2024.02，2024.02.08， Inferring the excitation-inhibition balance changes in human scalp EEGs using data assimilation framework， Poster presentation

  • The 26th Information-Based Induction Sciences Workshop, ， 2023.10 - 2023.11，2023.10.30， 自由エネルギー原理に基づいた楽観・悲観バイアスのデータ駆動的解読， Poster presentation

  • The 33rd Annual Meeting of the Japanese Neural Network Society, ， 2023.09，2023.09.05， A mental conflict between past experiences and present observation during Risk-taking， Poster presentation

  • The 46th Annual Meeting of the Japanese Neuroscience Society, ， 2023.08，2023.08.02， A data assimilation method for estimating dynamics of brain network in epileptic seizures using whole-brain calcium imaging， Poster presentation

  • The 46th Annual Meeting of the Japanese Neuroscience Society, ， 2023.08，2023.08.03， A data assimilation method for neural mass model-based tracking of excitation-inhibition balance using human scalp EEG， Poster presentation

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Awards 【 display / non-display 】

  • Best presentation awards (The 33rd Annual Meeting of the Japanese Neural Network Society), 2023.09， Award from Japanese society, conference, symposium, etc.

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Research Grants & Projects 【 display / non-display 】

  • National Institutes of Natural Sciences, OPEN MIX LAB (OML) Program，2024.04 - 2026.03，Other，Collaboration in Japan

  • Early-Career Scientists，2020.04 - 2023.03，Other，Collaboration in Japan

  • National Institutes of Natural Sciences Support for in-house research on data science approaches to physiological research at NIPS ，2022.12 - 2023.03，EEGデータ同化によるE/I バランス予測と個⼈特性評価への応⽤，Other，Collaboration in Japan

  • National Institutes of Natural Sciences, National Institute for Physiological Sciences Support for in-house research on data science approaches to physiological research at NIPS ，2021.12 - 2022.03，EEG データ同化によるE/I バランス予測とメカニズムの理解，Other，Collaboration in Japan

  • Grant-in-Aid for Scientific Research(B)，2021.04 - 2025.03

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Social Contribution 【 display / non-display 】

  • Industry-academia collaborative research (Nitto)，2024.04 - Now

  • Industry-academia collaborative research (NISSHA)，2023.07 - Now

  • Industry-academia collaborative research (TOSHIBA)，2023.06 - Now

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Academic Activities 【 display / non-display 】

  • Peer review (Neural networks, Type: review, Role: reviewer)

    Role(s)： Peer review

    2024.02.19 - 20240323

  • Peer review (Neural networks, Type: review, Role: reviewer)

    Role(s)： Peer review

    2023.09.17 - 20231015

  • Role(s)： Planning, management, etc.

    2023.08 - Now

  • Peer review (Neural networks, Type: review, Role: reviewer)

    Role(s)： Peer review

    2023.05.23 - 20230619

  • Peer review (Neural networks, Type: review, Role: reviewer)

    Role(s)： Peer review

    2023.03.08 - 20230416

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