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

• Published in: Frontiers in human neuroscience Vol. 15; p. 653659
• Main Authors: Kostas, Demetres, Aroca-Ouellette, Stéphane, Rudzicz, Frank
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 23.06.2021
• Subjects: brain computer interface; contrastive learning; convolutional neural network; deep learning - artificial neural network; Human Neuroscience; semi-supervised learning; transformers

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...