Rchr
J-GLOBAL ID：201801005276681800
Update date: May. 30, 2024
Isomura Takuya
イソムラ タクヤ | Isomura Takuya
Affiliation and department：
Research field (2)：
Intelligent informatics
, Intelligent informatics
Research keywords (7)：
Bayesian inference
, Theoretical neuroscience
, Active inference
, Neural network
, Unsupervised learning
, Learning algorithm
, Free energy principle
Research theme for competitive and other funds (4)：
- 2023 - 2028 Extension and validation of unified theories of prediction and action
- 2023 - 2028 予測と行動の統一理論の開拓と検証・総括班
- 2023 - 2028 生成モデルのリバースエンジニアリングに基づく脳型人工知能の創出
- 2014 - 2017 培養神経系が形成する認知モデルの解析に基づく教師なし学習と統合失調症の融合的理解
Papers (47)：
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Ukyo T. Tazawa, Takuya Isomura. Synaptic pruning facilitates online Bayesian model selection. 2024
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Takuya Isomura. Bayesian mechanics of self-organising systems. arXiv. 2023
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Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo, Karl J. Friston. Experimental validation of the free-energy principle with in vitro neural networks. Nature Communications. 2022. 14. 4547
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Takuya Isomura. Active inference leads to Bayesian neurophysiology. Neuroscience Research. 2022. 175. 38-45
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Takuya Isomura, Hideaki Shimazaki, Karl J. Friston. Canonical neural networks perform active inference. Communications Biology. 2022. 5. 55
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MISC (12)：
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Isomura Takuya. Introduction of the Free-Energy Principle: Perception, Action, and Inference of Another's Mind. The Brain & Neural Networks. 2018. 25. 3. 71-85
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島崎 秀昭, 吉田 正俊, 田口 茂, 磯村 拓哉, 田中 琢真, 大羽 成征, 乾 敏郎. 特集「自由エネルギー原理入門」. 日本神経回路学会誌. 2018. 25. 3. 51-52
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Yamaguci Ikuhiro, Isomura Takuya, Nakao Hiroya, Ogawa Yutaro, Jimbo Yasuhiko, Kotani Kiyoshi. Macroscopic oscillations in mixed populations of active and inactive oscillators coupled through lattice Laplacian. Meeting Abstracts of the Physical Society of Japan. 2017. 72. 0. 3112-3112
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小川貴裕, 酒井洸児, 磯村拓哉, 小谷潔, 神保泰彦. Propagation of synchronized activity with simple neuronal networks in vitro. 電気学会医用・生体工学研究会資料. 2016. MBE-16. 22-33.35.37-48
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Isomura Takuya, Kotani Kiyoshi, Jimbo Yasuhiko. The theory for neural-modulation of spike-timing dependent plasticity. Transactions of Japanese Society for Medical and Biological Engineering. 2015. 53. S253_02-S253_02
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Lectures and oral presentations (21)：
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古典・神経・量子システムにおけるベイズ力学
(第71回応用物理学会春季学術講演会 2024)
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自己組織化系のベイズ力学
(定量生物学の会 第十一回年会 2024)
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予測と行動の統一理論の開拓と検証
(CAN2024プレ・キックオフ シンポジウム 2023)
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Experimental validation of the free-energy principle with in vitro neural networks
(CRNL Workshop - Spotlight on brain organoids 2023)
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Canonical neural networks for shared intelligence - an active inference modelling
(Chubu University CMSAI International Symposium 2023)
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Education (2)：
- 2012 - 2017 The University of Tokyo Graduate School of Frontier Sciences Department of Human and Engineered Environmental Studies
- 2008 - 2012 The University of Tokyo The Faculty of Engineering Department of Precision Engineering
Professional career (1)：
Awards (3)：
- 2024/04 - Ministry of Education, Culture, Sports, Science and Technology Young Scientist’s Award for FY2024 from the Minister of Education, Culture, Sports, Science and Technology (MEXT) 神経回路が持つ生成モデルの推定とそのAI応用に関する研究
- 2017/03 - 東京大学大学院新領域創成科学研究科 研究科長賞(博士課程)
- 2014/03 - 東京大学大学院新領域創成科学研究科 研究科長賞(修士課程)
Association Membership(s) (2)：
日本神経回路学会
, THE JAPAN NEUROSCIENCE SOCIETY
