Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions

• Hauptverfasser: Konstantinos Barmpas (VerfasserIn), Yannis Panagakis (VerfasserIn), Stylianos Bakas (VerfasserIn), Dimitrios A. Adamos (VerfasserIn), Nikolaos Laskaris (VerfasserIn), Stefanos Zafeiriou (VerfasserIn)
• Format: Buch
• Veröffentlicht: IEEE, 2023-01-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

Deep Convolutional Neural Networks (CNNs) have recently demonstrated impressive results in electroencephalogram (EEG) decoding for several Brain-Computer Interface (BCI) paradigms, including Motor-Imagery (MI). However, neurophysiological processes underpinning EEG signals vary across subjects causi...