A data-driven approach to decompose motion data into task-relevant and task-irrelevant components in categorical outcome
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-59257-z
Abstract: Decomposition of motion data into task-relevant and task-irrelevant components is an effective way to clarify the diverse features involved in motor control and learning. Several previous methods have succeeded in this type of decomposition while… read more here.
Keywords: motion; task; task relevant; data task ... See more keywords