Dr. Alex Huth and colleagues in the department of Computer Science published a research article in Nature Neuroscience entiteld "Semantic reconstruction of continuous language from non-invasive brain recordings".
This research produced a non-invasive decoder that reconstructs continuous language from cortical semantic representations recorded using functional magnetic resonance imaging (fMRI) and revealed the viability of non-invasive language brain–computer interface.
Tang J, LeBel A, Jain S and Huth AG. Semantic reconstruction of continuous language from non-invasive brain recordings.Nat Neurosci. 2023 May 1. doi: 10.1038/s41593-023-01304-9.
https://www.npr.org/sections/health-shots/2023/05/01/1173045261/a-decoder-that-uses-brain-scans-to-know-what-you-mean-mostly" data-loopstyle="link" id="LPNoLPOWALinkPreview_1">A decoder that uses brain scans to know what you mean — mostly, All Things Considered
https://www.nytimes.com/2023/05/01/science/ai-speech-language.html" data-loopstyle="link" id="LPlnk332657">A.I. Is Getting Better at Mind-Reading, The New York Times