Article
Details
Citation
Reader AT (2017) Optimal motor synergy extraction for novel actions and virtual environments. Journal of Neurophysiology, 118 (2), pp. 652-654. https://doi.org/10.1152/jn.00165.2017
Abstract
Dimensionality reduction techniques such as factor analysis can be used to identify the smallest number of components (motor synergies) that explain motion. Lambert-Shirzad and Van der Loos (J Neurophysiol 117: 290–302, 2017) compared dimensionality reduction techniques in bimanual hand movements, concluding that nonnegative matrix factorization was the optimal technique for extracting meaningful synergies. Their results provide a useful measure for examining how the motor system deals with novel motor tasks that allow the actor to engage with a virtual environment.
Keywords
motor synergies; dimensionality reduction; virtual environments; novel actions
Journal
Journal of Neurophysiology: Volume 118, Issue 2
| Status | Published |
|---|---|
| Funders | Economic and Social Research Council |
| Publication date | 31/08/2017 |
| Publication date online | 01/08/2017 |
| Date accepted by journal | 18/05/2017 |
| URL | http://hdl.handle.net/1893/31638 |
| Publisher | American Physiological Society |
| ISSN | 0022-3077 |
| eISSN | 1522-1598 |
People (1)
People
Lecturer in Psychology, Psychology