Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces

Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces

The human brain has been an object of extensive investigation in different fields. While several studies have focused on understanding the neural correlates of error processing, advances in brain-machine interface systems using non-invasive techniques further enabled the use of the measured signals...

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Bibliographic Details
Main Authors: Aline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Human Neuroscience
Subjects:
error-related potentials
reinforcement learning
EEG
brain-machine (computer) interface
electroencephalography
self-organization
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.806517/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2022.806517/full

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