Rchr
J-GLOBAL ID：201801006367066578
Update date: Apr. 03, 2024
Hayakawa Takashi
ハヤカワ タカシ | Hayakawa Takashi
Affiliation and department：
Job title：
Associate Professor
Research field (6)：
Soft computing
, Neuroscience - general
, Intelligent informatics
, Biological, health, and medical informatics
, Pharmacology
, Bio-, chemical, and soft-matter physics
Research keywords (6)：
clinical pharmacoepidemiology
, neural networks
, machine learning
, Bayesian inference
, statistical mechanics
, dynamical system theory
Research theme for competitive and other funds (3)：
- 2019 - 2022 場の理論にもとづく動的均衡にあるレザボワ計算神経回路の設計
- 2016 - 2019 学習する対象から情報収集するアルゴリズムの構築とその応用
- 脳多元自発活動の創発と遷移による脳のデザインビルド
Papers (11)：
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Takashi Hayakawa, Takuya Nagashima, Hayato Akimoto, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai. Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical records. Digital Health. 2023. 9. 1-23
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Hayato Akimoto, Takashi Hayakawa, Takuya Nagashima, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai. Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models. Frontiers in Pharmacology. 2023. 14
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Akimoto, H, Nagashima, T, Minagawa, K, Hayakawa, T, Takahashi, Y, Asai, S. Detection of synergistic interaction on an additive scale between two drugs on abnormal elevation of serum alanine aminotransferase using machine-learning algorithms. Frontiers in Pharmacology. 2022. 13
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Takuya Nagashima, Takashi Hayakawa, Hayato Akimoto, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai. Identifying antidepressants less likely to cause hyponatremia: triangulation of retrospective cohort, disproportionality, and pharmacodynamic studies. Clinical Pharmacology and Therapeutics. 2022. 111. 6. 1258-1267
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Hayato Akimoto, Takuya Nagashima, Kimino Minagawa, Takashi Hayakawa, Yasuo Takahashi, Satoshi Asai. Signal Detection of Potential Hepatotoxic Drugs: Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical Records. Biological and Pharmaceutical Bulletin. 2021. 44. 10. 1514-1523
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MISC (6)：
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Hayakawa Takashi, Kaneko Takeshi, Aoyagi Toshio. 27pAJ-9 Information Maximization in the Actor-Critic model and its Biological Implementation. Meeting abstracts of the Physical Society of Japan. 2014. 69. 1. 301-301
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Hayakawa Takashi, Kaneko Takeshi, Aoyagi Toshio. 29pXR-8 Consideration on Conditions which allow Local Learning of Recurrent Neuronal Networks. Meeting Abstracts of the Physical Society of Japan. 2013. 68. 0. 409-409
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Hayakawa Takashi, Aoyagi Toshio, Iba Yukito. Statistical Eigenmode Analysis of Dynamical Systems by means of a Time-Averaged Kernel. Meeting Abstracts of the Physical Society of Japan. 2013. 68. 0. 293-293
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HAYAKAWA Takashi, KANEKO Takeshi, IBA Yukito, AOYAGI Toshio. Exploration for cortical dynamics with Monte Carlo sampling of learning rules. 日本神経回路学会全国大会講演論文集. 2011. 21st. 56-57
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Hiroyuki Hioki, Hisashi Nakamura, Yun-Fei Ma, Kouichi Nakamura, Takashi Hayakawa, Takeshi Kaneko. Characterization of glutamatergic neurons in the rat midbrain raphe nuclei. NEUROSCIENCE RESEARCH. 2007. 58. S76-S76
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Lectures and oral presentations (5)：
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免疫受容体レパトアの分子動力学的解析とスパース統計モデリング
(日本物理学会 2020年 秋季大会 2020)
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動的均衡にあるランダム結合神経回路の場の理論的解析
(RIMS共同研究 力学系-新たな理論と応用に向けて- 2019)
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動的均衡にある神経回路の理論解析とレザボワ計算
(日本物理学会 第74回年次大会 2019)
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Spontaneous and stimulus-induced coherent states of dynamically balanced neuronal networks
(第41回神経科学大会 2018)
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Mean-field theory and coherent states of dynamically balanced neuronal networks
(27th Annual Computational Neuroscience Meeting (CNS2018) 2018)
Education (2)：
- 2010 - 2015 Kyoto University Graduate School of Medicine 医学専攻
- 2001 - 2007 Kyoto University Faculty of Medicine 医学科 医学専攻
Professional career (1)：
Work history (3)：
- 2024/04 - 現在 Nihon University School of Medicine Associate Professor
- 2018/04 - 2024/03 Nihon University School of Medicine Assistant Professor
- 2015/04 - 2018/03 RIKEN Brain Science Institute
Awards (2)：
- 2014/11 - 電気情報通信学会 IBIS2014 学生奨励賞
- 2014/11 - 日本電気通信情報学会 IBIS2014 学生奨励賞 データの能動的獲得に基づく一般化情報量最大化学習
Association Membership(s) (4)：
The Physical Society of Japan
, Japan Neuroscience Society
, 日本臨床薬理学会
, 日本薬理学会
