A Biologically Constrained Cerebellar Model With Reinforcement Learning for Robotic Limb Control

A Biologically Constrained Cerebellar Model With Reinforcement Learning for Robotic Limb Control

The cerebellum is known to be critical for accurate adaptive control and motor learning. It has long been recognized that the cerebellum acts as a supervised learning machine. However, recent evidence shows that cerebellum is integral to reinforcement learning. This paper proposes a biologically pla...

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Bibliographic Details
Main Authors: Rong Liu, Qi Zhang, Yaru Chen, Jiaxing Wang, Le Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cerebellum
cerebellar model
reinforcement learning
robotic limb control
Online Access:https://ieeexplore.ieee.org/document/9285238/

Internet

https://ieeexplore.ieee.org/document/9285238/

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