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J Neurophysiol (October 4, 2006). doi:10.1152/jn.00736.2006
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Submitted on July 17, 2006
Accepted on September 28, 2006

Neural Averaging In Motor Learning

Andrew Mattar1 and David Ostry2*

1 Psychology, McGill University, Montreal, Canada
2 Psychology, McGill University, Canada; Haskins Laboratories, New Haven, Connecticut, United States

* To whom correspondence should be addressed. E-mail: ostry{at}motion.psych.mcgill.ca.

The capacity for skill development over multiple training episodes is fundamental to human motor function. We have studied the process by which skills evolve with training by progressively modifying a series of motor learning tasks that subjects performed over a one-month period. In a series of empirical and modelling studies, we show that performance undergoes repeated modification with new learning. Each in a series of prior training episodes contributes such that present performance reflects a weighted average of previous learning. Moreover, we have observed that the relative weighting of skills learned wholly in the past changes with time. This suggests that the neural substrate of skill undergoes modification following consolidation.




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