Hayakawa Takashi

School of Medicine Department of MedicineAssociate Professor

Research Keyword

  • clinical pharmacoepidemiology
  • neural networks
  • machine learning
  • Bayesian inference
  • statistical mechanics
  • dynamical system theory

Field Of Study

  • Informatics, Soft computing, Soft computing
  • Life sciences, Neuroscience - general, Neurophysiology/General neuroscience
  • Informatics, Intelligent informatics, Intelligent informatics
  • Informatics, Biological, health, and medical informatics, Life/Health/Medical informatics
  • Life sciences, Pharmacology, General pharmacology
  • Natural sciences, Bio-, chemical, and soft-matter physics

Career

  • Apr. 2024 - Present
    Nihon University School of Medicine, Associate Professor
  • Apr. 2018 - Mar. 2024
    Nihon University School of Medicine, Assistant Professor
  • Apr. 2015 - Mar. 2018
    RIKEN Brain Science Institute

Educational Background

  • Apr. 2010 - Mar. 2015
    Kyoto University, Graduate School of Medicine, 医学専攻
  • Apr. 2001 - Mar. 2007
    Kyoto University, Faculty of Medicine, 医学科 医学専攻

Award

  • 電気情報通信学会, IBIS2014 学生奨励賞
  • 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
    早川 隆, 青柳 富誌生

Paper

  • Late development of OCD-like phenotypes in Dlgap1 knockout mice
    Kimino Minagawa; Takashi Hayakawa; Hayato Akimoto; Takuya Nagashima; Yasuo Takahashi; Satoshi Asai
    Psychopharmacology, 2024, Refereed
    Lead
  • Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical records
    Takashi Hayakawa; Takuya Nagashima; Hayato Akimoto; Kimino Minagawa; Yasuo Takahashi; Satoshi Asai
    Digital Health, Jun. 2023, Refereed
    Lead
  • Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models
    Hayato Akimoto; Takashi Hayakawa; Takuya Nagashima; Kimino Minagawa; Yasuo Takahashi; Satoshi Asai
    Frontiers in Pharmacology, May 2023, Refereed
  • Detection of synergistic interaction on an additive scale between two drugs on abnormal elevation of serum alanine aminotransferase using machine-learning algorithms
    Akimoto, H; Nagashima, T; Minagawa, K; Hayakawa, T; Takahashi, Y; Asai, S
    Frontiers in Pharmacology, Jul. 2022, Refereed
  • Identifying antidepressants less likely to cause hyponatremia: triangulation of retrospective cohort, disproportionality, and pharmacodynamic studies
    Takuya Nagashima; Takashi Hayakawa; Hayato Akimoto; Kimino Minagawa; Yasuo Takahashi; Satoshi Asai
    Clinical Pharmacology and Therapeutics, Mar. 2022, Refereed, Not invited
  • Signal Detection of Potential Hepatotoxic Drugs: Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical Records
    Hayato Akimoto; Takuya Nagashima; Kimino Minagawa; Takashi Hayakawa; Yasuo Takahashi; Satoshi Asai
    Biological and Pharmaceutical Bulletin, Oct. 2021, Refereed
  • Spontaneous and stimulus-induced coherent states of critically balanced neuronal networks
    Takashi Hayakawa; Tomoki Fukai
    Physical Review Research, Mar. 2020, Refereed, Not invited
    Lead
  • タンパクの立体構造の機械学習と物理学
    早川 隆
    日本大学医学部 一般教育研究紀要, Dec. 2019, Not refereed, Not invited
    Lead
  • Learning in neural networks based on a generalized fluctuation theorem
    Takashi Hayakawa; Toshio Aoyagi
    PHYSICAL REVIEW E, Nov. 2015, Refereed, Not invited
    Lead
  • A biologically plausible learning rule for the Infomax on recurrent neural networks
    Takashi Hayakawa; Takeshi Kaneko; Toshio Aoyagi
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, Nov. 2014, Refereed, Not invited
    Lead
  • Thromboxane receptor activation enhances striatal dopamine release, leading to suppression of GABAergic transmission and enhanced sugar intake
    Tomoyuki Mitsumori; Tomoyuki Furuyashiki; Toshihiko Momiyama; Akinori Nishi; Takahide Shuto; Takashi Hayakawa; Fumitaka Ushikubi; Shiho Kitaoka; Tomohiro Aoki; Haruhisa Inoue; Toshiyuki Matsuoka; Shuh Narumiya
    EUROPEAN JOURNAL OF NEUROSCIENCE, Aug. 2011, Refereed, Not invited
  • Vesicular Glutamate Transporter 3-Expressing Nonserotonergic Projection Neurons Constitute a Subregion in the Rat Midbrain Raphe Nuclei
    Hiroyuki Hioki; Hisashi Nakamura; Yun-Fei Ma; Michiteru Konno; Takashi Hayakawa; Kouichi C. Nakamura; Fumino Fujiyama; Takeshi Kaneko
    JOURNAL OF COMPARATIVE NEUROLOGY, Mar. 2010, Refereed, Not invited

MISC

  • 27pAJ-9 Information Maximization in the Actor-Critic model and its Biological Implementation
    Hayakawa Takashi; Kaneko Takeshi; Aoyagi Toshio
    Meeting abstracts of the Physical Society of Japan, 05 Mar. 2014, Not refereed, Not invited
  • 29pXR-8 Consideration on Conditions which allow Local Learning of Recurrent Neuronal Networks
    Hayakawa Takashi; Kaneko Takeshi; Aoyagi Toshio
    Meeting Abstracts of the Physical Society of Japan, 2013, Not refereed, Not invited
  • Statistical Eigenmode Analysis of Dynamical Systems by means of a Time-Averaged Kernel
    Hayakawa Takashi; Aoyagi Toshio; Iba Yukito
    Meeting Abstracts of the Physical Society of Japan, 2013, Not refereed, Not invited
  • Exploration for cortical dynamics with Monte Carlo sampling of learning rules
    HAYAKAWA Takashi; KANEKO Takeshi; IBA Yukito; AOYAGI Toshio
    日本神経回路学会全国大会講演論文集, 15 Dec. 2011, Not refereed, Not invited
  • Characterization of glutamatergic neurons in the rat midbrain raphe nuclei
    Hiroyuki Hioki; Hisashi Nakamura; Yun-Fei Ma; Kouichi Nakamura; Takashi Hayakawa; Takeshi Kaneko
    NEUROSCIENCE RESEARCH, 2007, Not refereed, Not invited
  • Characterization of glutamatergic neurons in the rat midbrain raphe nuclei
    Takashi Hayakawa; Hiroyuki Hioki; Kouichi Nakamura; Hisashi Nakamura; Takeshi Kaneko
    NEUROSCIENCE RESEARCH, 2006, Not refereed, Not invited

Lectures, oral presentations, etc.

  • Stochastic neuronal information processing inferred from developmental changes in the spontaneous activity pattern of the primary somatosensory cortex
    Takashi Hayakawa
    Neuro2024, Jul. 2024, Not invited
  • 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
    早川隆; 小松徳太郎; 糸井充穂
    日本物理学会 2020年 秋季大会, Sep. 2020, Not invited
  • 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
    早川 隆
    RIMS共同研究 力学系-新たな理論と応用に向けて-, Jun. 2019, 東北大学AIMR, 千葉逸人, Not invited
  • 動的均衡にある神経回路の理論解析とレザボワ計算
    早川 隆; 深井 朋樹
    日本物理学会 第74回年次大会, Mar. 2019, Not invited
  • Spontaneous and stimulus-induced coherent states of dynamically balanced neuronal networks
    Takashi Hayakawa; and Tomoki Fukai
    第41回神経科学大会, Jul. 2018, Not invited
  • Mean-field theory and coherent states of dynamically balanced neuronal networks
    Takashi Hayakawa; and Tomoki Fukai
    27th Annual Computational Neuroscience Meeting (CNS2018), Jul. 2018, Not invited

Affiliated academic society

  • Apr. 2010 - Present
    The Physical Society of Japan
  • Apr. 2010 - Present
    Japan Neuroscience Society
  • 日本臨床薬理学会
  • 日本薬理学会

Research Themes

  • 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
    日本学術振興会
  • 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
    Apr. 2019 - Mar. 2022
    Takashi Hayakawa
  • 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
    Apr. 2016 - Mar. 2019