論文

• 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.
• 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.
• Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike. Computational reproductions of external force field adaption without assuming desired trajectories, Neural Networks, Vol. 139, Page 179-198, July 2021.
• 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.
• Yasuharu Koike, Toshihiro Kawase, Hiroyuki Kambara, Nicolas Schweighofer, Natsue Yoshimura. Muscle Synergy Analysis for Rehabilitaion, Examines in Physical Medicine and Rehabilitaion, Vol. 2, No. 5, p. 1-2, Jan. 2020.

国際会議発表 (査読有り)

• Cho Woorim, Nicolas Schweighofer, Barradas Victor, Yasuharu Koike. Design Isometric Force Rotating Task for EMG Normalization of Stroke Patients, ISEK XXIII Virtual Congress, July 2020.

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