Balancing Local and Global Dependencies in EEG Emotion Recognition via Multi-Scale Hybrid Attention
Electroencephalography (EEG)-based emotion recognition remains challenging due to the low signal-to-noise ratio, non-stationarity, strong inter-subject variability, and the distribution of affect-related information across multiple temporal resolutions. Although recent deep architectures have increasingly combined mult...