Quantum leap for quantum dots
Experimental results were predicted by several recent theoretical models of motor learning, and should help to understand more about motor learning and motor control.
Abstract
According to work by Flanagan et al., described in Current Biology, we learn to predict the consequences of our actions before we learn to control them — under certain circumstances, at least. These experimental results were predicted by several recent theoretical models of motor learning, and should help us to understand more about motor learning and motor control. Motor control can be considered in two parts: control, or the process of generating motor commands to produce a desired outcome; and prediction, which is the internal generation of expected sensory consequences from a set of motor commands. Flanagan and colleagues used a task in which subjects had to manipulate an object along a straight line, while the load on the object was varied during the trial.