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 ...

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.

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 ...

Laura holds a Master's in Experimental Neuroscience and a Bachelor's in Biology from Imperial College London. Her areas of expertise include health, medicine, psychology, and neuroscience.View full ...

First author Gopala Anumanchipalli holds an array of intracranial electrodes of the type used to record brain activity in the study. (Courtesy: UCSF) Neurological conditions or injuries that result in ...

The aim of the research was to build upon studies that are showing how computer science and artificial intelligence can take brain research in new directions. The study demonstrates how a ...

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI ...

Researchers from HSE University and the Moscow State University of Medicine and Dentistry have developed a machine learning model that can predict the word about to be uttered by a subject based on ...

A 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 ...