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  Learning Optimal Adaptation Strategies in Unpredictable Motor Tasks

Braun, D., Aertsen, A., Wolpert, D., & Mehring, C. (2009). Learning Optimal Adaptation Strategies in Unpredictable Motor Tasks. The Journal of Neuroscience, 29(20), 6472-6478. doi:10.1523/JNEUROSCI.3075-08.2009.

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Braun, DA1, Author              
Aertsen, A, Author              
Wolpert, DM, Author
Mehring, C, Author
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1External Organizations, ou_persistent22              

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 Abstract: Picking up an empty milk carton that we believe to be full is a familiar example of adaptive control, because the adaptation process of estimating the carton's weight must proceed simultaneously with the control process of moving the carton to a desired location. Here we show that the motor system initially generates highly variable behavior in such unpredictable tasks but eventually converges to stereotyped patterns of adaptive responses predicted by a simple optimality principle. These results suggest that adaptation can become specifically tuned to identify task-specific parameters in an optimal manner.

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 Dates: 2009-05
 Publication Status: Published in print
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 Identifiers: DOI: 10.1523/JNEUROSCI.3075-08.2009
BibTex Citekey: BraunAWM2009_2
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Title: The Journal of Neuroscience
  Other : J. Neurosci.
Source Genre: Journal
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Publ. Info: Baltimore, MD : The Society
Pages: - Volume / Issue: 29 (20) Sequence Number: - Start / End Page: 6472 - 6478 Identifier: ISSN: 0270-6474
CoNE: https://pure.mpg.de/cone/journals/resource/954925502187