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Scientific Reports|May 16, 2023
Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient methodAdam Purnomo, Mitsuhiro Hayashibe
Frontiers in Neuroscience|July 30, 2016
Evoked Electromyographically Controlled Electrical StimulationMitsuhiro Hayashibe
Frontiers in Computational Neuroscience|March 12, 2014
Synergetic motor control paradigm for optimizing energy efficiency of multijoint reaching via tacit learningMitsuhiro Hayashibe, Shingo Shimoda
Royal Society Open Science|May 27, 2022
Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching taskKyo Kutsuzawa, Mitsuhiro Hayashibe
Scientific Reports|January 3, 2025
Motor synergy and energy efficiency emerge in whole-body locomotion learningGuanda Li, Mitsuhiro Hayashibe
Biomedical Engineering Online|September 7, 2013
Voluntary EMG-to-force estimation with a multi-scale physiological muscle modelMitsuhiro Hayashibe, David Guiraud
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Emergence of motor synergy in vertical reaching task via tacit learningMitsuhiro Hayashibe, Shingo Shimoda
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Classification of Human Balance Recovery Strategies Through Kinematic Motor Synergy AnalysisKeli Shen, Ahmed Chemori, Mitsuhiro Hayashibe
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