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The Journal of Neuroscience, May 20, 2009, 29(20):6472-6478; doi:10.1523/JNEUROSCI.3075-08.2009

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Behavioral/Systems/Cognitive
Learning Optimal Adaptation Strategies in Unpredictable Motor Tasks

Daniel A. Braun,1,2,3,4 Ad Aertsen,1,3 Daniel M. Wolpert,4 and Carsten Mehring1,2

1Bernstein Center for Computational Neuroscience, 2Institute of Biology I, and 3Institute of Biology III, Albert Ludwig University, 79104 Freiburg, Germany, and 4Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom

Correspondence should be addressed to Daniel A. Braun at the above addresses. Email: dab54@cam.ac.uk

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.

Received July 2, 2008; revised Jan. 14, 2009; accepted March 16, 2009.

Correspondence should be addressed to Daniel A. Braun at the above addresses. Email: dab54@cam.ac.uk


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