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.
Full text not available from this repository.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 |
|---|---|
| Additional Information: | PMCID: PMC2692080 |
| 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: | 04 Nov 2011 15:50 |
| Last Modified: | 16 May 2013 19:20 |
| DOI: | 10.1523/JNEUROSCI.3075-08.2009 |
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