What if it were possible to decode the internal language of individuals deprived of the ability to express themselves? This is the objective of a team of neuroscientists from the University of Geneva ...

(A) After the electrodes were implanted, participants took part in the study in the wheelchair, reading sentences given visual cues. Audio data were collected using a directional microphone, and ...

A spinning 3D view of one person's cerebral cortex. Pink indicates above average activity and blue shows below average activity. Jerry Tang and Alexander Huth Researchers have created a non-invasive ...

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 ...

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 ...

The advanced pattern-recognition capabilities of AI deep learning offer new glimmer of hope of a noninvasive solution to help patients who are unable to speak due to neurodegenerative diseases or ...

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 ...

What if it were possible to decode the internal language of individuals deprived of the ability to express themselves? Researchers have now managed to identify promising neural signals to capture our ...