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 ...

Recently, my colleagues and I published a study on decoding language from brain recordings made using functional MRI. Brain decoders are being developed to help restore communication to people who ...

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 ...

Functional magnetic resonance imaging (fMRI) captures coarse, colorful snapshots of the brain in action. Although this specialized type of magnetic resonance imaging has transformed cognitive ...

Language and speech are how we express our inner thoughts. But neuroscientists just bypassed the need for audible speech, at least in the lab. Instead, they directly tapped into the biological machine ...

The work relies in part on a transformer model, similar to the ones that power ChatGPT. Alex Huth (left), Shailee Jain (center) and Jerry Tang (right) prepare to collect brain activity data in the ...

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 ...

Researchers at the University of Texas at Austin on Monday unveiled an artificial intelligence-powered method to decode brain activity as a person listens to a story or imagines telling a story.

A new system was able to capture exact words and phrases from the brain activity of someone listening to podcasts. A noninvasive brain-computer interface capable of converting a person’s thoughts into ...