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Learning optimal adaptation strategies in unpredictable motor tasks.


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.

SUBMITTER: Braun DA 

PROVIDER: S-EPMC2692080 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

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Learning optimal adaptation strategies in unpredictable motor tasks.

Braun Daniel A DA   Aertsen Ad A   Wolpert Daniel M DM   Mehring Carsten C  

The Journal of neuroscience : the official journal of the Society for Neuroscience 20090501 20


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  ...[more]

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