University of Alabama at Birmingham

Researchers decoded 15 semantic categories from sEEG high-gamma activity in epilepsy patients at 29.8% accuracy (chance 6.7%), supporting semantic decoding feasibility for language BCIs. Preprint; not yet peer-reviewed.