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R. Meng

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#machine learning Mar 2026

Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition

Experiments on SEED and DEAP under both subject-dependent and leave-one-subject-out protocols show that GRN consistently outperforms competitive baselines, while additional analyses confirm the effects of prototype learning, PLV/coherence resonance, and leakage-safe reference construction.

R. Meng · arXiv.org · 0 citations