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Alex Huth

Brain Activity Decoder Can Reveal Stories in People’s Minds

Alex Huth (left), Shailee Jain (center) and Jerry Tang (right) prepare to collect brain activity data in the Biomedical Imaging Center at The University of Texas at Austin. The researchers trained their semantic decoder on dozens of hours of brain activity data from participants, collected in an fMRI scanner. Photo Credit: Nolan Zunk/University of Texas at Austin.

05/01/2023 - The work relies in part on a transformer model, similar to the ones that power ChatGPTA new artificial intelligence system called a semantic decoder can translate a person’s brain activity — while listening to a story or silently imagining telling a story — into a continuous stream of text. The system developed by researchers at The University of Texas at Austin might help people who are mentally conscious yet unable to physically speak, such as those debilitated by strokes, to communicate intelligibly again.

New Faculty 2016-17

09/19/2016 - 2016-17 marks the beginning of another outstanding year for UT Computer Science, with the addition of six new faculty in the fields of quantum computing, computer vision, natural language processing, and theory. This builds upon the very successful 2015-16 academic year, when UT Computer Science recruited four new assistant professors in systems and robotics, ensuring a vibrant future for computer science education and research at The University of Texas at Austin.

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