Article

Cross-subject decoding of human neural data for speech Brain Computer Interfaces

2026-03-02

Abstract excerpt

Brain-to-text systems have recently achieved impressive performance when trained on single-participant data, but remain limited by uninvestigated cross-subject generalization. We present the first neural-to-phoneme decoder trained jointly on the two largest intracortical speech datasets (Willett et al. 2023; Card et al. 2024), introducing day- and dataset-specific affine transforms to align neural activity into a...

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Literature Corpus work: 5dfea0c9-49d2-59a4-8e77-2d96e4ec56f9
DOI: 10.64898/2026.02.27.708564

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