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J-GLOBAL ID：201901000595852310   Update date: Feb. 01, 2024

Okamoto Hiroshi

オカモト ヒロシ | Okamoto Hiroshi
Affiliation and department：
The University of Tokyo

About The University of Tokyo


Research field  (4)： Other ,  Neuroscience - general ,  Other ,  International relations
Research keywords  (3)： complex network ,  computational neuroscience ,  計算社会科学
Research theme for competitive and other funds  (9)：
  • 2023 - 2025 Hierarchical structure of knowledge networks and hierarchical analogical reasoning
  • 2020 - 2023 Reverse Engineering of Connectome: Elucidating Brain Information Processing Architecture by Network Analysis
  • 2018 - 2022 Topic Transition Analysis from Millions of Tweets After Severe Disasters
  • 2017 - 2021 Construction of Machine Learning Computing Base and Creation of Remarkable Contributions in Multiple Research Fields
  • 2015 - 2019 Whole brain network analysis
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Papers (61)：
  • Hiroshi Okamoto, Iku Yoshimoto, Sota Kato, Budrul Ahsan, Shuji Shinohara. Testing the Power-Law Hypothesis of the Inter-Conflict Interval. Scientific Reports. 2023
  • Hiroshi Okamoto. To be existent is to be stable: detecting the optimal number of communities. Complex Networks 2023 (28-30 Dec 2023, Menton Riviera, France) Book of Abstracts. Selected as lightning talk in plenary session. 2023. 3 pages
  • Hiroshi Okamoto, Budrul Ahsan, Yu Minematsu, Sota Kato, Iku Yoshimoto. A power law approach to predicting international conflicts: Lewis Fry Richardson revisited. 80th Annual Midwest Political Science Association Conference April 13-16, 2023. 2023. 15 pages.
  • Hiroshi Okamoto, Xule Qiu. Detecting hierarchical organization of pervasive communities by modular decomposition of Markov chain. Scientific Reports. 2022. 12. 1
  • Shuji Shinohara, Hiroshi Okamoto, Nobuhito Manome, Pegio-Yukio Gunji, Yoshihiro Nakajima, Toru Moriyama, Ung-il Chung. Simulation of foraging behavior using a decision-making agent with Bayesian and inverse Bayesian inference: Temporal correlations and power laws in displacement patterns. Chaos, Solitons & Fractals. 2022. 157. 111976-111976
ｍore...
MISC (6)：
  • 山野 泰子, 岡本 洋, 坂田 一郎. 企業ネットワークの動的メゾスコピック構造. 人工知能. 2023. 38. 2. 117-124
  • 岡本 洋. 全脳ネットワーク分析 -コネクトームのリバースエンジニアリング-. 人工知能. 2017. 32. 6. 836-844
  • 岡本 洋. 全脳ネットワーク分析:複雑ネットワーク科学とコネクトームとの融合から全脳アーキテクチャにせまる. 知能と情報(日本知能情報ファジィ学会誌). 2016. 28. 2. 28-37
  • 岡本 洋. コネクトーム・複雑ネットワーク科学・全脳ネットワーク分析. 知能と情報(日本知能情報ファジィ学会誌). 2015. 27. 2. 23-23
  • 深井 朋樹, 岡本 洋, 酒井 裕. 行動決定の計算論 (特集 前頭前野機能の最前線--基礎から臨床まで). 神経研究の進歩. 2005. 49. 4. 573-581
ｍore...
Books (4)：
  • Pythonと複雑ネットワーク分析 : 関係性データからのアプローチ
    近代科学社 2019 ISBN:9784764906020
  • Local Detection of Communities by Attractor Neural-Network Dynamics
    Springer 2014
  • Amplification of switching characteristics of biochemical-reaction networks involving Ca2+/calmodulin-dependent protein kinase II
    Plenum Press 1998
  • A role of Ca2+/calmodulin-dependent protein kinase II in the induction of long-term potentiation: switching characteristics according to Ca2+ signalling and digitization of graded information into binary information
    World Scientific 1996
Professional career (1)：
  • 博士(理学) (早稲田大学)
Work history (3)：
  • 2019/07 - 現在 The University of Tokyo Department of Bioengineering Project Researcher
  • 2018/07 - 2019/06 DWANGO Co., Ltd. Artificial Intelligence Laboratory Senior Researcher
  • 1991/04 - 2018/06 Fuji Xerox Co., Ltd. Research & Development Group Research Principal
Association Membership(s) (3)：
American Political Science Association ,  SOCIETY FOR NEUROSCIENCE ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
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