論文

• Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike. Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals, Feb. 2025.
• Victor Barradas, Yasuharu Koike, Nicolas Schweighofer. Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks, Neural Networks, Elsevier B.V., Oct. 2023.
• Victor R. Barradas, Woorim Cho, Yasuharu Koike. EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill, Frontiers in Human Neuroscience, Volume 16, Jan. 2023.
• Woorim Cho, Victor Barradas, Nicolas Schweighofer, Yasuharu Koike. Design of an Isometric End-Point Force Control Task for Electromyography Normalization and Muscle Synergy Extraction From the Upper Limb Without Maximum Voluntary Contraction, Frontiers in Human Neuroscience-Motor Neuroscience, May 2022.
• Victor Barradas, Jason.J Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer. When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance, N. J Neurophysiology, May 2020.

国際会議発表 (査読有り)

• Kevin Lee, Victor Barradas, Nicolas Schweighofer, Yasuharu Koike. Self-organizing recruitment of compensatory areas maximizes residual motor performance of upper extremity post-stroke, Neuroscience2024, Oct. 2024.

国内会議発表 (査読なし・不明)

• Victor Barradas, Yasuharu Koike. Muscle co-contraction speeds up learning of inverse models by linearizing the dynamics of learning, 第18回Motor Control研究会, Aug. 2024.

特許など

• 小池康晴, 吉村奈津江, 神原裕行, BARRADASPATINO, KimYeong Dae, STAPORNCHAISITS. 情報処理装置、情報処理方法およびコンピュータプログラム. 特許. 公開. 国立大学法人東京工業大学. 2020/12/24. 特願2020-214629. 2022/07/06. 特開2022-100576. 2022.

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