Victor Barradas


Victor Barradas


Computational NeuroscienceMotor Control and Learning


I received a B.Sc. in Mechatronics Engineering from the National Autonomous University of Mexico in 2014, and a Ph.D. in Biomedical Engineering from the University of Southern California in 2019. My research interests include searching for ways to facilitate motor skill acquisition based on computational theories of motor control and learning, and the application of these findings on rehabilitation after stroke.


By conducting research at WRHI, I expect to expand my network of research collaborators and interests, and to generate a larger impact with my research.


Specially Appointed Assistant Professor, Tokyo Institute of Technology


Barradas VR, Kutch JJ, Kawase T, Koike Y, Schweighofer N. When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance. J Neurophysiol. Published online, 2020. doi:10.1152/jn.00472.2019.