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Training decoders to ignore physiological noise can boost brain-to-speech decoding accuracy by nearly 5%, transforming communication aids for neurodegenerative patients.
Forget complex learned tokenizers for MEG data – simple, fixed sample-level tokenization works just as well for foundation models.
