Uncovering Language Processing Patterns in EEG Signals Using Attention-Based Neural Networks

Neural network models, particularly Vision Transformers and EEGNet, can effectively extract and visualize salient features from EEG signals that distinguish between listening and speaking tasks, providing insights into the temporal and frequency-related dynamics of brain activity.