Predicting explorative motor learning using decision-making and motor noise.
A fundamental problem faced by humans is learning to select motor actions based on noisy sensory information and incomplete knowledge of the world. Recently, a number of authors have asked whether this type of motor learning problem might be very similar to a range of higher-level decision-making pr...
Main Authors: | Xiuli Chen, Kieran Mohr, Joseph M Galea |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-04-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1005503 |
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