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Brain activity can decode naturalistic speech segments with 42% accuracy within the top 10 of 2,000 options, a feat achieved by aligning fMRI with multimodal stimulus embeddings.
A single 30-hour fMRI dataset unlocks whole-brain decoding of naturalistic speech, revealing continuous performance gains with more data.
SPD Learn streamlines geometric deep learning with SPD matrices by providing a unified Python package that ensures manifold constraints via trivialization, enabling standard backpropagation for neural decoding.