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  • 标题:Motor control: Neural models and systems theory
  • 本地全文:下载
  • 作者:Kenji Doya ; Hidenori Kimura ; Aiko Miyamura
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2001
  • 卷号:11
  • 期号:1
  • 出版社:De Gruyter Open
  • 摘要: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
  • 关键词:inverse model; adaptive control; cerebellum; reinforcement learning; basal ganglia; multiple models
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