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Learning optimal adaptation strategies in unpredictable motor tasks.

Braun, DA and Aertsen, A and Wolpert, DM and Mehring, C (2009) Learning optimal adaptation strategies in unpredictable motor tasks. J Neurosci, 29. pp. 6472-6478.

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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.

Item Type: Article
Uncontrolled Keywords: Adaptation, Physiological Computer Simulation Feedback Humans Learning Models, Biological Motor Skills Movement Predictive Value of Tests Rotation Task Performance and Analysis
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:33
Last Modified: 02 Jun 2014 01:15
DOI: 10.1523/JNEUROSCI.3075-08.2009

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