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J-GLOBAL ID：201101095109037637   Update date: Nov. 19, 2024

YOSHIMURA Natsue

YOSHIMURA Natsue
Affiliation and department：
Institute of Science Tokyo School of Computing

About Institute of Science Tokyo School of Computing


Job title： Professor
Homepage URL  (2)： http://t2r2.star.titech.ac.jp/cgi-bin/researcherinfo.cgi?q_researcher_content_number=CTT100611847 ,  https://t2r2.star.titech.ac.jp/cgi-bin/researcherpublicationlist.cgi?lv=en&q_researcher_content_number=CTT100611847&alldisp=1&tab_yf=2017
Research field  (1)： Perceptual information processing
Research keywords  (2)： 脳プロ ,  包括脳ネットワーク
Research theme for competitive and other funds  (9)：
  • 2024 - 2027 体験共有が信頼の形成に及ぼす影響と要因の解明
  • 2020 - 2023 感覚連想を用いたブレイン・コンピュータ・インタフェース
  • 2018 - 2021 New Brain Machine Interface using prediction information in the brain
  • 2018 - 2020 Development of human preference evaluation model based on neural decoding
  • 2017 - 2019 筋肉協調運動の脳内身体表現学理と脳波を用いた可視化によるリハビリ支援技術の開発
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Papers (85)：
  • Yuanhao Li, Badong Chen, Gang Wang, Natsue Yoshimura, Yasuharu Koike. Partial maximum correntropy regression for robust electrocorticography decoding. Frontiers in neuroscience. 2023. 17. 1213035-1213035
  • Lykke Silfwerbrand, Yousuke Ogata, Natsue Yoshimura, Yasuharu Koike, Malin Gingnell. An fMRI-study of leading and following using rhythmic tapping. Social neuroscience. 2022. 17. 6. 558-567
  • Hyeonseok Kim, Makoto Miyakoshi, Yeongdae Kim, Sorawit Stapornchaisit, Natsue Yoshimura, Yasuharu Koike. Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals. Sensors. 2022
  • Yuanhao Li, Badong Chen, Yuxi Shi, Natsue Yoshimura, Yasuharu Koike. Correntropy-Based Logistic Regression with Automatic Relevance Determination for Robust Sparse Brain Activity Decoding. CoRR. 2022. abs/2207.09693
  • Yuxi Shi, Gowrishankar Ganesh, Hideyuki Ando, Yasuharu Koike, Eiichi Yoshida, Natsue Yoshimura. Galvanic Vestibular Stimulation-Based Prediction Error Decoding and Channel Optimization. International journal of neural systems. 2021. 31. 11. 2150034-2150034
ｍore...
MISC (33)：
  • 中村 隆斗, 丸山 裕恒, 玄 英麗, 水谷 国男, 大風 翼, 吉村 奈津江. 40126 脳波への独立成分分析を用いた暑熱環境下で風を浴びた際の瞬間的な心地良さ評価に関する研究. 環境工学I. 2020. 2020. 251-252
  • 施宇曦, 吉田栄一, 安藤英由樹, GOWRISHANKAR Ganesh, 小池康晴, 吉村奈津江. The control of the wheelchair by decoding human movement intention based on prediction error using EEG signals. 日本神経回路学会全国大会講演論文集. 2019. 29th
  • 相澤秀紀, 小池康晴, 緒方洋輔, 吉村奈津江. 神経活動からの睡眠障害の解析. 生体医歯工学共同研究拠点成果報告書. 2018. 2017. 113
  • 高瀬雄哉, 緒方洋輔, 吉村奈津江, 小池康晴, 加納慎一郎. EEG cortical current estimation based on standard brain model using EEG signals during motor imagery. 電気学会研究会資料. 2018. MBE-18-001-031. 83-88
  • EEG Analysis during juggling. 2017. 117. 361. 17-22
ｍore...
Work history (1)：
  • 2023/04 - 現在 Tokyo Institute of Technology School of Computing Professor
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