STAMBRIDGE uses STAM for robust EEG feature extraction and MFSB for cross-modal alignment, reporting 34.50% top-1 and 65.95% top-5 accuracy in 200-way zero-shot retrieval on THINGS-EEG plus diffusion-based image reconstructions.
Interpretable cross-modal alignment network for eeg visual decoding with algorithm unrolling.IEEE Transactions on Neural Networks and Learning Systems, 36(11):19894–19908
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CAIA framework improves zero-shot brain-to-image retrieval accuracy by adaptively blurring visuals to match neural granularity and screening task-relevant EEG oscillations.
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