Yale University, Dartmouth College, and the University of Cambridge researchers have developed MindLLM, a subject-agnostic ...

Photo Credit: Nolan Zunk/University of Texas at Austin. An individually trained semantic decoder translated brain patterns on functional MRI (fMRI) into continuous streams of text, a small study ...

Researchers have demonstrated how to decode what the human brain is seeing by using artificial intelligence to interpret fMRI scans from people watching videos, representing a sort of mind-reading ...

Restoring communication Jerry Tang and colleagues at The University of Texas at Austin have developed a language decoder that translates brain activity data from functional MRI scans into a continuous ...

First, the data was independently segmented into quintiles (5 levels) for self-relevance and valence based on participant’s ratings. Next, time points (TRs) were assigned according to the levels of ...