Noninvasive decoding of typed sentences from human brain activity

Nature Neuroscience, Published online: 29 June 2026; doi:10.1038/s41593-026-02303-2

Here the authors introduce Brain2Qwerty, a deep learning model that decodes typed sentences from non-invasive brain activity with character error rate down to 18%. This opens a pathway for non-invasive communication neuroprostheses.