Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training

A corrigendum on Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training by Ivanov, N., and Chau, T. (2023). Materials and methods, subsection “2.1 Performance metric design”, paragraph 7. The authors apologize for this error...

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Bibliographic Details
Published in:Frontiers in computational neuroscience 2023-11, Vol.17, p.1286681-1286681
Main Authors: Ivanov, Nicolas, Chau, Tom
Format: Article
Language:English
Subjects:
brain-computer interface (BCI)
electroencephalography (EEG)
Riemannian geometry
simulation
user evaluation
user training
Online Access:Get full text
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Summary:A corrigendum on Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training by Ivanov, N., and Chau, T. (2023). Materials and methods, subsection “2.1 Performance metric design”, paragraph 7. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.
ISSN:1662-5188
1662-5188
DOI:10.3389/fncom.2023.1286681