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Motor Control: Neural Models and Systems Theory

Doya K., Kimura H., Miyamura A.

International Journal of Applied Mathematics and Computer Science

2001

Vol. 11, no 1

77-104

In this paper, we introduce several system theoretic problems brought forward by recent studies on neural models of motor control. We focus our attention on three topics: (i) the cerebellum and adaptive control, (ii) reinforcement learning and the basal ganglia, and (iii) modular control with multiple models. We discuss these subjects from both neuroscience and systems theory viewpoints with the aim of promoting interplay between the two research communities.