Researchers discover single-cell brain activity that underlies human speech With neuronal data, AI models predicted grammar, meaning, and context of spoken sentences.

Researchers discover single-cell brain activity that underlies human speech With neuronal data, AI models predicted grammar, meaning, and context of spoken sentences. By applying machine-learning models to single-cell brain recordings taken from humans in conversation, a National Institutes of Health (NIH)-funded research team identified both individual and collective neuronal activity that reflected key features of language. The work offers unprecedented insight into how neurons encode linguistic information, suggesting that brain activity may one day be used to infer speech-related thoughts, which could be transformative for some patients. https://www.nih.gov/news-events/news-releases/researchers-discover-single-cell-brain-activity-underlies-human-speech