Scientists have, for the first time, decoded inner speech—silent thoughts of words—on command using brain-computer interface technology, achieving up to 74% accuracy. By recording neural activity from participants with severe paralysis, the team found that inner speech and attempted speech share overlapping brain activity patterns, though inner speech signals are weaker.
