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http://hdl.handle.net/1893/31638| 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 |
| Date Deposited: | 3-Sep-2020 |
| 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. |
| DOI Link: | 10.1152/jn.00165.2017 |
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| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
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|---|---|---|---|---|
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