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.
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.
|Uncontrolled Keywords:||Adaptation, Physiological Computer Simulation Feedback Humans Learning Models, Biological Motor Skills Movement Predictive Value of Tests Rotation Task Performance and Analysis|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Unnamed user with email email@example.com|
|Date Deposited:||09 Dec 2016 17:15|
|Last Modified:||21 Jan 2017 22:07|