Geodesic
Motor Control: Neural Models and Systems Theory
International Journal of Applied Mathematics and Computer Science, Tome 11 (2001) no. 1, pp. 77-104.

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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.
Keywords: inverse model, adaptive control, cerebellum, reinforcement learning, basal ganglia, multiple models
Mots-clés : adaptacyjny układ sterowania, model wielokrotny 
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     author = {Doya, K. and Kimura, H. and Miyamura, A.},
     title = {Motor {Control:} {Neural} {Models} and {Systems} {Theory}},
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Doya, K.; Kimura, H.; Miyamura, A. Motor Control: Neural Models and Systems Theory. International Journal of Applied Mathematics and Computer Science, Tome 11 (2001) no. 1, pp. 77-104. http://geodesic.mathdoc.fr/item/IJAMCS_2001_11_1_a3/