Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training
Nicolas Ivanov1,2, Tom Chau1,2
1PRISM Lab, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Frontiers in Computational Neuroscience
|December 4, 2023
Abstract:
[This corrects the article DOI: 10.3389/fncom.2023.1108889.].
Keywords:
Riemannian geometrybrain-computer interface (BCI)electroencephalography (EEG)simulationuser evaluationuser training

