AMAtt: Manifold Attention Network with Adaptive Log-Euclidean Metrics for Brain Signals
This paper extended the existing Manifold Attention Network (MAtt), a novel deep learning model that applies a manifold attention mechanism to better capture the spatiotemporal patterns of EEG signals, and integrates Adaptive Log-Euclidean Metrics (ALEMs)---a learnable metric framework into the MAtt network that adapts...