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J-GLOBAL ID：200901094345074980   Update date: Sep. 24, 2024

Yoshimoto Junichiro

ヨシモト ジュンイチロウ | Yoshimoto Junichiro
Affiliation and department：
Fujita Health University School of Medicine

About Fujita Health University School of Medicine


Job title： Professor
Other affiliations (2)：
  • Advanced Telecommunications Research Institute International  Brain Information Communication Research Laboratory Group   Visiting Researcher
  • Nara Institute of Science and Technology  Division of Information Science, Graduate School of Science and Technology   Visiting Professor
Research field  (5)： Biological, health, and medical informatics ,  Intelligent informatics ,  Soft computing ,  Neuroscience - general ,  Mathematical informatics
Research keywords  (7)： Machine Learning ,  Computational Psychiatry ,  Bayesian Learning ,  Soft Computing ,  Neuroinformatics ,  Computational Neuroscience ,  Reinforcement Learning
Research theme for competitive and other funds  (4)：
  • 2021 - 2026 うつ病の再発予防に寄与するAIアルゴリズム技術の開発
  • 2016 - 2018 Altered neural basis of vulnerability in recurrent depression
  • 2011 - 2016 情動の制御機構を解明するための神経情報基盤の構築
  • 2010 - 2015 Development of system identification methods of mesoscopic neurocircuitry based on multi-dimensional imaging data
Papers (84)：
  • Sayuri Shima, Yasuaki Mizutani, Junichiro Yoshimoto, Yasuhiro Maeda, Reiko Ohdake, Ryunosuke Nagao, Toshiki Maeda, Atsuhiro Higashi, Akihiro Ueda, Mizuki Ito, et al. Uric acid and alterations of purine recycling disorders in Parkinson's disease: a cross-sectional study. NPJ Parkinson's disease. 2024. 10. 1. 170-170
  • Joshua Philippe Olorocisimo, Yasumi Ohta, Paul R Regonia, Virgil C G Castillo, Junichiro Yoshimoto, Hironari Takehara, Kiyotaka Sasagawa, Jun Ohta. Brain-implantable needle-type CMOS imaging device enables multi-layer dissection of seizure calcium dynamics in the hippocampus. Journal of Neural Engineering. 2024. 21. 4. 046022-046022
  • Takayuki Kannon, Satoshi Murashige, Tomoki Nishioka, Mutsuki Amano, Yasuhiro Funahashi, Daisuke Tsuboi, Yukie Yamahashi, Taku Nagai, Kozo Kaibuchi, Junichiro Yoshimoto. KANPHOS: Kinase-associated neural phospho-signaling database for data-driven research. Frontiers in Molecular Neuroscience. 2024. 17
  • Daisuke Tsuboi, Taku Nagai, Junichiro Yoshimoto, Kozo Kaibuchi. Neuromodulator regulation and emotions: insights from the crosstalk of cell signaling. Frontiers in Molecular Neuroscience. 2024. 17
  • Ryunosuke Nagao, Yasuaki Mizutani, Sayuri Shima, Akihiro Ueda, Mizuki Ito, Junichiro Yoshimoto, Hirohisa Watanabe. Correlations between serotonin impairments and clinical indices in multiple system atrophy. European journal of neurology. 2024. 31. 3. e16158
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MISC (70)：
  • 貞廣 良一, Sri-iesaranusorn Panyawut, 村上 渉, 和田 佐保, 清水 研, 吉田 輝彦, 青木 一教, 上園 保仁, 松岡 弘道, 池田 和司, et al. 教師なし機械学習による術後せん妄の分類. 総合病院精神医学. 2023. 35. Suppl. S-173
  • 中野高志, 中野高志, 高村真広, 西村春輝, 町澤まろ, 市川奈穂, 吉野敦雄, 岡田剛, 岡本泰昌, 岡本泰昌, et al. 安静時脳活動は標的部位に依存しないfMRIニューロフィードバック適性を予測する. 日本神経化学会大会抄録集(Web). 2022. 65th
  • 高村真広, 高村真広, 中野高志, 中野高志, 西村春輝, 西村春輝, 町澤まろ, 市川奈穂, 吉野敦雄, 吉野敦雄, et al. 安静時脳活動の動的特性とfMRIニューロフィードバック訓練への適応性との関連. 日本神経化学会大会抄録集(Web). 2022. 65th
  • 中野高志, 中野高志, 高村真広, 西村春輝, 町澤まろ, 市川奈穂, 岡本泰昌, 山脇成人, 山田真希子, 須原哲也, et al. Resting-state brain activity predicts neurofeedback training aptitude. 人工知能学会全国大会(Web). 2022. 36th
  • Yuji Takahara, Yuto Kashiwagi, Tomoki Tokuda, Junichiro Yoshimoto, Yuki Sakai, Ayumu Yamashita, Toshinori Yoshioka, Koichi Ogawa, Okito Yamashita, Mitsuo Kawato. Comprehensive evaluation of the analytic pipelines for major depressive disorder classifier based on resting state fMRI. The 33rd. ECNP Congress. 2020
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Patents (1)：
  • 適応型制御器、適応型制御方法および適応型制御プログラム
Books (4)：
  • Clinical psychoinformatics: a novel approach to behavioral states and mental health care driven by machine learning
    Academic Press 2021
  • 次世代医療AI - 生体信号を介した人とAIの融合 -
    コロナ社 2021
  • Multiscale Models of Brain Disorders
    Springer 2019 ISBN:9783030188290
  • これからの強化学習
    森北出版 2016 ISBN:9784627880313
Lectures and oral presentations  (7)：
  • 強化学習理論から迫る脳の意思決定と情動
    (日本視覚学会2021年冬季大会 2021)
  • Bayesian multiple clustering and its application to subtype identification of depression
    (The 19th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2019) 2019)
  • Data Mining Based on Non-Parametric Bayesian Co-Clustering and Its Applications to Psychiatric and Mental Health Research
    (The 9th Mind-Body Interface (MBI) International Symposium 2019)
  • Prediction of SSRI treatment response by multimodal bio-data fusion
    (WFSBP 2018 KOBE 2018)
  • 機械学習によるマルチモーダルデータ解析を活用した抗うつ薬の治療反応性予測
    (第15回日本うつ病学会総会 2018)
ｍore...
Education (2)：
  • 1998 - 2002 Nara Institute of Science and Technology Graduate School of Information Science
  • 1994 - 1998 Kansai University Faculty of Informatics
Professional career (1)：
  • Ph.D of Engineering (Nara Institute of Science and Technology)
Work history (11)：
  • 2022/01 - 現在 Nara Institute of Science and Technology Division of Information Science, Graduate School of Science and Technology Visiting Professor
  • 2022/01 - 現在 Fujita Health University School of Medicine Professor
  • 2018/12 - 現在 Advanced Telecommunications Research Institute International Department of Computational Brain Imaging Visiting Principal Researcher
  • 2018/04 - 2021/12 Nara Institute of Science and Technology Division of Information Science, Graduate School of Science and Technology Associate Professor
  • 2015/08 - 2019/03 Okinawa Institute of Science and Technology Neural Computation Unit Visiting Researcher
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Committee career (24)：
  • 2023/06 - 現在 電子情報通信学会 情報・システムソサイエティ副会長(編集会議担当)
  • 2023/04 - 現在 情報処理学会 バイオ情報学研究会 運営委員
  • 2021/04 - 現在 情報処理学会 数理モデル化と問題解決研究会 幹事
  • 2020/06 - 現在 一般財団法人 お酒の科学財団 研究助成選考委員
  • 2020/01 - 現在 The Japan Neuroscience Society Chair of Information Infrastructure Committee
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Awards (5)：
  • 2019/09 - 公益社団法人日本心理学会 学術大会特別優秀発表賞 幸せになるために今日できること-幸福感を予測する人工知能技術-
  • 2019/06 - IPSJ Special Interest Group of Bioinformatics and Genomics (SIGBIO) Distinguished Service Award
  • 2017/06 - 電子情報通信学会 情報・システムソサイエティ査読功労賞
  • 2017/06 - 電子情報通信学会 情報・システムソサイエティ活動功労賞
  • 2008/03 - Information Processing Society of Japan IPSJ Yamashita SIG Research Award Bayesian system identification method for biochemical reaction systems
Association Membership(s) (7)：
Asia Pacific Neural Network Society ,  THE JAPAN NEUROSCIENCE SOCIETY ,  THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS ,  JAPANESE NEURAL NETWORK SOCIETY ,  IEEE
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