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A single, shared visual-semantic space can unify fMRI data across diverse participants and experiments, enabling robust cross-dataset decoding.
Speech BCIs are adaptive, user-centered systems where neural representations, hardware, decoding, language priors, and user learning interact, demanding a holistic evaluation beyond simple offline accuracy.