Neural correlates of user learning during long-term BCI training for the Cybathlon competition

Neural correlates of user learning during long-term BCI training for the Cybathlon competition

Background: Brain-computer interfaces (BCIs) are systems capable of translating human brain patterns, measured through electroencephalography (EEG), into commands for an external device. Despite the great advances in machine learning solutions to enhance the performance of BCI decoders, the translat...

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Bibliographic Details
Main Authors: Beraldo, G. (Author), Bettella, F. (Author), Carli, R. (Author), Del Felice, A. (Author), Formaggio, E. (Author), Masiero, S. (Author), Menegatti, E. (Author), Petrone, N. (Author), Rubega, M. (Author), Tonin, L. (Author), Tortora, S. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Brain-computer interface
Cybathlon
Long-term evaluation
Motor imagery
Mutual learning
Riemann geometry
User learning
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