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Robotic joystick reveals how brain controls movement

ere asked to keep the joystick centered.

The research team found that after all this pushing in different directions the subjects still were inclined to push the joystick in the first direction, even when the joystick was perfectly centered and not moving. Somehow the brain and muscles in the arm had "learned" this simple movement over the course of the experiment, which took only a few minutes, according to the researchers, showing that sleep is not required for learning such simple movements.

The robot-controlled joystick used in these experiments can measure precisely how hard and in what direction it's being pushed by the hand holding it. Using computer programs, the researchers then were able to apply mathematical equations to these measurements and calculate predictions of how the brain might be "learning" these simple movements.

For example, by taking into account the number of repetitions it took for the subjects to push the joystick in the first direction to keep it centered and how long it took for the subjects to "forget" how hard to push the joystick, the predictions suggest that the brain learns muscle control using at least two different steps.

First, the computer programs were able to tease out that the brain picked up the control task quickly, but actually forgot the task quickly as well. But, at the same time, the brain also was learning the same task more slowly, and that was responsible for the subjects' being able to "remember" the initial joystick-pushing movement.

"Rehab is about training, and you want to be able to train the slow-learning system to be successful," says Shadmehr.

As a next step, the team is interested in uncovering which parts of the brain are responsible for slow-learning. They hope that teasing this system apart will not only improve the understanding of brain function, but also tailor therapy strategies to target slow-learning and increase recovery of muscle control after
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Source:Johns Hopkins Medical Institutions


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