SATrans-Net is a deep learning model designed to improve the decoding performance of EEG signals. It combines the power of Convolutional Neural Networks (CNNs) and Transformers, integrating a Top-k Sparse Attention mechanism to efficiently capture long-sequence dependencies in EEG signals
☆19Jan 12, 2026Updated 9 months ago
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