BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data

Deep neural networks (DNNs) used for brain–computer interface (BCI) classification are commonly expected to learn general features when trained across a variety of contexts, such that these features could be fine-tuned to specific contexts. While some success is found in such an approach, we suggest...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Frontiers in human neuroscience Jg. 15; S. 653659
Hauptverfasser:	Kostas, Demetres, Aroca-Ouellette, Stéphane, Rudzicz, Frank
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Frontiers Media S.A 23.06.2021
Schlagworte:	brain computer interface contrastive learning convolutional neural network deep learning - artificial neural network Human Neuroscience semi-supervised learning transformers
ISSN:	1662-5161, 1662-5161
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!