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

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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Konstantinos Barmpas (Author), Yannis Panagakis (Author), Stylianos Bakas (Author), Dimitrios A. Adamos (Author), Nikolaos Laskaris (Author), Stefanos Zafeiriou (Author)
Format: Book
Published: IEEE, 2023-01-01T00:00:00Z.
Subjects:
article
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items