Abstract：
:Individual differences in motor learning ability are widely acknowledged, yet little is known about the factors that underlie them. Here we explore whether movement-to-movement variability in motor output, a ubiquitous if often unwanted characteristic of motor performance, predicts motor learning ability. Surprisingly, we found that higher levels of task-relevant motor variability predicted faster learning both across individuals and across tasks in two different paradigms, one relying on reward-based learning to shape specific arm movement trajectories and the other relying on error-based learning to adapt movements in novel physical environments. We proceeded to show that training can reshape the temporal structure of motor variability, aligning it with the trained task to improve learning. These results provide experimental support for the importance of action exploration, a key idea from reinforcement learning theory, showing that motor variability facilitates motor learning in humans and that our nervous systems actively regulate it to improve learning.
journal_name
Nat Neuroscijournal_title
Nature neuroscienceauthors
Wu HG,Miyamoto YR,Gonzalez Castro LN,Ölveczky BP,Smith MAdoi
10.1038/nn.3616subject
Has Abstractpub_date
2014-02-01 00:00:00pages
312-21issue
2eissn
1097-6256issn
1546-1726pii
nn.3616journal_volume
17pub_type
杂志文章abstract：:Active sensation requires the convergence of external stimuli with representations of body movements. We used mouse behavior, electrophysiology and optogenetics to dissect the temporal interactions among whisker movement, neural activity and sensation of touch. We photostimulated layer 4 activity in single barrels in ...
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abstract：:Information analysis shows that face-selective neurons in inferior temporal cortex encode different stimulus attributes early and late in their response to the same image. ...
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更新日期：2006-02-01 00:00:00
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