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Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Optimal motor synergy extraction for novel actions and virtual environments
Author(s): Reader, Arran T
Keywords: motor synergies
dimensionality reduction
virtual environments
novel actions
Issue Date: Aug-2017
Citation: Reader AT (2017) Optimal motor synergy extraction for novel actions and virtual environments. Journal of Neurophysiology, 118 (2), pp. 652-654.
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.
DOI Link: 10.1152/jn.00165.2017
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