Abstract
The application of deep neural networks in brain-computer interfaces (BCIs) has intensified, mainly due to these models' potential to analyze raw electroencephalogram (EEG) signals. In particular, convolutional neural networks (CNNs), which have excelled in image classification and speech recognition, have also been explored.In this context, using interpretable architectures that perform …