Katsushi Kagaya
(加賀谷 勝史)Profile Information
- Affiliation
- Center for Education and Research in Information Science and Technology (CERIST), Graduate School of Information Science and Technology, The University of Tokyo
- Degree
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PhD(Mar, 2010, Hokkaido University)
- Contact information
- kkagayaai.u-tokyo.ac.jp
- Researcher number
- 00580177
- ORCID ID
- https://orcid.org/0000-0003-3001-7690
- J-GLOBAL ID
- 201101022208840720
- researchmap Member ID
- B000000659
- External link
Research Interests
animal physiology, animal behavior, neurophysiology, soft robotics, data science
Overview
I am interested in understanding how animals behave as a combination of diverse environments, bodies, and brains, with a particular focus on the mechanisms that generate "flexibility" and "spontaneity". My field mainly targets the functions of individual animals and is known as animal physiology. However, this issue arises in several interdisciplinary fields, including soft robotics. I have focused on studying crustaceans such as crayfish and mantis shrimp. My approach includes three elements:
- Behavioral physiological methods based on measurements of nerve cells, muscle activity, and body movements
- Statistical inference methods that construct and evaluate models based on these measurements
- Soft robotics methods that build and evaluate actual machines
I also look forward to the prospect of converting animal mechanisms into human technology (biomimetics).
Mechanisms of Flexible Elastic Deformation
The interaction between the body of an individual animal and its external environment, acquired through evolution, generates remarkable diversity. The brain, body, and environment are not separated but are coupled flexibly (from the viewpoint of embodiment). How can we systematize and understand this diversity? We have been working on this problem, targeting arthropods (crayfish, mantis shrimp, and trap-jaw ants) and mollusks (octopuses), which can realize deformational movements using their exoskeletons. For example, we have shown that individual crayfish consistently produce larger or smaller claws when constructing their exoskeletons. Our recent research has focused on soft robotics, aiming for biomimetics (Inoue+2021, Ito+2021, Kagaya+2022).
Neural Basis of Spontaneity
Animals can initiate voluntary and spontaneous movements without explicit external sensory stimuli. What are the neural mechanisms underlying the initiation of spontaneous behavior? To answer this question, we have been conducting research using the crayfish as our subject. We have discovered that, as with primates, there is a "readiness potential" that precedes the onset of spontaneous movements in crayfish (Kagaya & Takahata, 2010). We have proposed that the generation of the readiness potential is not due to the spontaneous activity of specific, single neurons, but rather the operation of whole recurrent neural circuits (Kagaya & Takahata, 2011). Furthermore, we has released a preprint that explains how this circuitry can be viewed as an integrate and fire type, high dimensional dynamical system showing avalanche-like behavior explained as a self-organized critical phenomenon (Kagaya, et al., 2022).
Interdisciplinary Data-Driven Research
- Behavioral Biology (Crabs) [Harada+2020]
We proposed a method to predict the individuality of behavioral characteristics of each animal based on the viewpoint of prediction (generalization error) using hierarchical and non-hierarchical stat models. The question was whether there was individuality in the behavior of the decorator crab, which creates a cap by processing a sponge. The analysis showed that each crab had a consistent, individual tendency to create larger or smaller caps. In evaluating singular models with structured hierarchical models, statistically valid conditions do not hold, and the AIC based on the maximum likelihood method cannot be used. Therefore, we used WAIC based on the statistical learning theory by Dr. Watanabe (cf. WAIC and WBIC).
- Epidemiology (Humans) [Mizumoto+2020a, b, c]
Scientific exploration is conducted based on data. The outbreak of the new coronavirus since the spring of 2020 has not only been uncertain, but has also widely recognized the importance of obtaining information from data in unknown situations. We conducted collaborative research on data analysis in mathematical epidemiology with Dr. Kenji Mizumoto. In particular, we reported a statistical inference of the proportion of asymptomatic individuals based on data from the Diamond Princess cruise ship (Mizumoto+2020).
- Chromosome Biology (Human Cells) [Kagaya+2020]
We statistically inferred the influence on the phenotype of the cell cycle when sister X chromosomes were fused using a cell line that emits fluorescence when chromosomes are fused, developed by Dr. Makoto T. Hayashi. We concluded that the generation of a tiny nucleus structure resulted in a longer interphase and instability when fusion was induced. Applying hierarchical Bayesian modeling and its evaluation method, we considered whether groups of cells derived from the same cell should be considered as one group from the predictive point of view.
〒113-0033 Tokyo, Bunkyo-ku, Hongo 5-24-5, Nagase Hongo Building 8F
※ Transferred to Kohei Nakajima's lab from April 2020.
Research Interests
7Research History
6-
Apr, 2020 - Present
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Jul, 2013 - May, 2014
Education
3Major Papers
25-
IEEE/ASME Transactions on Mechatronics, 2024
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Journal of Experimental Biology, 226(10), 2023 Peer-reviewed
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人工知能, 37(6), Nov, 2022 InvitedLead authorCorresponding author
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arXiv, Sep, 2022 Lead authorCorresponding author
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RoboSoft, 224-230, 2022 Peer-reviewedLead author
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Life Science Alliance, 3(12) e202000911, Oct, 2020 Peer-reviewedLead author
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PeerJ, May, 2020 Peer-reviewedCorresponding author
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Eurosurveillance, 25(10), Mar, 2020 Peer-reviewed
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Journal of Experimental Biology, 219(3) 319-333, Feb, 2016 Peer-reviewedLead author
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Comparative Physiology and Biochemistry, 29(1) 3-10, 2012 Peer-reviewedInvited
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Science, 332(6027) 365-368, Apr, 2011 Peer-reviewedLead authorCorresponding author
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Journal of Neuroscience, 30(4) 1348-1362, Jan, 2010 Peer-reviewedLead authorCorresponding author
Books and Other Publications
3-
京都大学学術出版会, Nov, 2022 (ISBN: 9784814004492)
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成山堂書店, 2017
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共立出版, Jul, 2015 (ISBN: 9784320057739)
Major Misc.
17-
Jun, 2022
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Feb, 2017 Peer-reviewedInvited
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Invertebrate Brain Platform, Aug, 2014 InvitedLead authorCorresponding author
Presentations
30-
The 11th International Symposium on Adaptive Motion of Animals and Machines
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Workshop on Unconventional Computing, Oct 22, 2022
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Workshop on Unconventional Computing, Oct 22, 2022
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日本動物学会, Sep 2, 2021
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biofluids 2021, Jul 7, 2021, RIMS Research Project “Mathematical Biofluid Mechanics” Invited
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基礎生物学研究所 動物行動学研究会, Jun 29, 2021 Invited
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進化学会、進化の流体力学的側面:バクテリアから恐竜まで, Sep 6, 2020 Invited
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Annual Meeting of Japanese Society for Comparative Physiology and Biochemistry, Nov 30, 2019
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The 9th International Symposium on Adaptive Motion of Animals and Machines, Aug 20, 2019 Invited
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Annual Meeting of Japanese Society for Comparative Physiology and Biochemistry, Nov 25, 2018 Invited
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神戸大学 生物学専攻学術セミナー, Jan 16, 2018 Invited
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日本甲殻類学会・日本貝類学会 共催シンポジウム 「捕食・被食と殻の役割」, Oct 6, 2017 Invited
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Sep 21, 2017
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Adaptive Motion of Animals and Machines, Jun 29, 2017 Invited
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22nd International Congress of Zoology / 87th meeting of Zoological Society of Japan, Nov 17, 2016
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日本動物学会新潟大会, Sep 19, 2015
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International Society for Neuroethology (participant symposium, selected talk), Jul, 2014 Invited
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Kyushu Institute of Technology, May, 2014 Invited
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Annual Meeting of Society for Integrative and Comparative Biology, Jan, 2014
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invited talk (Tufts university), Jun, 2013 Invited
Teaching Experience
2-
Jan, 2023
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Jul, 2018
Professional Memberships
2Awards
2Research Projects
4-
Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024
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科学研究費助成事業 挑戦的研究(萌芽), 挑戦的研究(萌芽), 日本学術振興会, Jun, 2018 - Mar, 2022
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Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2021
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Narishige zoological science grant, Narishige foundation, Oct, 2016 - Jul, 2017
Committee Memberships
4-
2022 - Present
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2022 - Present
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2017 - 2019
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2016 - 2019
Media Coverage
4-
全国学童保育連絡協議会, 学童ほいく, Feb, 2020 Promotional material
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National Geographic, Feb 14, 2019 Internet
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科学雑誌Newton, Nov 26, 2015 Newspaper, magazine
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NHK, ダーウィンが来た! - 生きもの新伝説, Dec 7, 2014 TV or radio program
Social Activities
6