Article

Optimal motor synergy extraction for novel actions and virtual environments

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

StatusPublished
FundersEconomic and Social Research Council
Publication date31/08/2017
Publication date online01/08/2017
Date accepted by journal18/05/2017
URLhttp://hdl.handle.net/1893/31638
PublisherAmerican Physiological Society
ISSN0022-3077
eISSN1522-1598

People (1)

People

Dr Arran Reader
Dr Arran Reader

Lecturer in Psychology, Psychology