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Title: Motor control: Neural models and systems theory

Creator:

Doya, Kenji ; Kimura, Hidenori ; Miyamura, Aiko

Date:

2001

Resource Type:

artykuł

Contributor:

Fliess, Michel - ed. ; Jai, Abdelhaq El - ed.

Subtitle:

Mathematical Theory of Networks and Systems

Group publication title:

AMCS, volume 11 (2001)

Abstract:

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:58757

Pages:

77-104

Source:

AMCS, volume 11, number 1 (2001) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

inverse model adaptive control cerebellum reinforcement learning basal ganglia multiple models

Object collections:

Last modified:

Sep 3, 2021

In our library since:

Jul 19, 2021

Number of object content hits:

94

All available object's versions:

https://zbc.uz.zgora.pl/repozytorium/publication/65538

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Motor control: Neural models and systems theory Sep 3, 2021

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