AINeutralarXiv – CS AI · 6h ago6/10
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A Deep Generative Model for Resting-State EEG Synthesis and Transferable Representation Learning
REST-GAN introduces a generative adversarial network framework for synthesizing resting-state EEG signals while learning transferable representations without manual feature engineering. The model demonstrates strong performance in reproducing key EEG properties and outperforms direct raw-signal approaches on demographic classification tasks, offering a computationally efficient alternative to existing EEG analysis methods.