Abstract
In the study of the computational neural networks on learning and skill acquisition of the motion functions, MOSAIC model using the internal model proposed by Kawato is useful. The internal model based on the control model of Allen-Tsukahara is able to express physical motion by associativity of the feedback control and the feedforward control. In this paper, we give a subject a task that he/she should push a number of the button to be equal to a computer screen in order to confirm a change function between the feedback control and the feedforward control of the internal model. If the repetition motion is given to the subject several times, the feedforward control comes up conspicuously, and the ratio of the feedforward control for the feedback control rises. We discuss here the movement, the response time, and the electroencephalographic signal in this repetition control of vision-motion task. We also discuss a MOSAIC model using the neural network from the results of vision-motion task.
