Scientists at the University of Texas at Austin have created a “semantic brain decoder” to guess someone’s thoughts based on brain activity. AUSTIN, Texas — Scientists at the University of Texas at ...

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 ...

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 ...

UT Austin researchers created a "semantic brain decoder" that can predict thoughts when participants listen to a podcast or imagine telling a story. The decoder did not translate thoughts ...

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 ...