When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance VR Barradas, JJ Kutch, T Kawase, Y Koike, N Schweighofer Journal of Neurophysiology 123 (6), 2180-2190, 2020 | 36 | 2020 |
Design of an Isometric End-Point Force Control Task for Electromyography Normalization and Muscle Synergy Extraction From the Upper Limb Without Maximum Voluntary Contraction W Cho, VR Barradas, N Schweighofer, Y Koike Frontiers in Human Neuroscience 16, 2022 | 4 | 2022 |
EMG space similarity feedback promotes learning of expert-like muscle activation patterns in a complex motor skill VR Barradas, W Cho, Y Koike Frontiers in Human Neuroscience 16, 805867, 2023 | 3 | 2023 |
Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks VR Barradas, Y Koike, N Schweighofer Neural Networks 170, 376-389, 2024 | 2 | 2024 |
Force reserve predicts compensation in reaching movement with induced shoulder strength deficit G Faity, VR Barradas, N Schweighofer, D Mottet Journal of Neurophysiology 132 (2), 470-484, 2024 | | 2024 |
Self-organizing recruitment of compensatory areas maximizes residual motor performance post-stroke K Lee, VR Barradas, N Schweighofer bioRxiv, 2024.06. 28.601213, 2024 | | 2024 |
Virtual surgeries as a tool for studying motor learning VR Barradas University of Southern California, 2019 | | 2019 |
Métrica de controlabilidad para manipuladores actuados por tendones VR Barradas Patiño Universidad Nacional Autónoma de México, 2014 | | 2014 |