On the Use of Regulator Theory in Neuroscience with Implications for Robotics

Mireille E. Broucke

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Paper

On the Use of Regulator Theory in Neuroscience with Implications for Robotics

In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics ICINCO - Volume 1, 11-23, 2021

Author: Mireille E. Broucke

Affiliation: Electrical and Computer Engineering, University of Toronto, Toronto, Canada

Keyword(s): Regulator Theory, Adaptive Internal Models, Motor Control, Cerebellum.

Abstract: We survey recent results on the use of regulator theory in neuroscience, particularly to model the contribution of the cerebellum to motor systems. Based on our study of the slow eye movement systems as well as visuomotor adaptation, several themes emerge, including a promising structural model of the cerebellum, and insights on how the cerebellum may enable and disable internal models. Implications for robotics are discussed at the end of the paper.

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Paper citation in several formats:

Broucke, M. E. (2021). On the Use of Regulator Theory in Neuroscience with Implications for Robotics. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 11-23. DOI: 10.5220/0010639100110023

@conference{icinco21,
author={Mireille E. Broucke},
title={On the Use of Regulator Theory in Neuroscience with Implications for Robotics},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2021},
pages={11-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010639100110023},
isbn={978-989-758-522-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - On the Use of Regulator Theory in Neuroscience with Implications for Robotics
SN - 978-989-758-522-7
IS - 2184-2809
AU - Broucke, M.
PY - 2021
SP - 11
EP - 23
DO - 10.5220/0010639100110023
PB - SciTePress