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Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition
Electroencephalography (EEG)-based emotion recognition remains challenging in cross-subject settings due to severe inter-subject variability. Existing methods mainly learn subject-invariant features, but often under-exploit stimulus-locked group regularities shared across subjects. To address this i
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