A team of researchers led by Kim Hong Ji and Woo Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at ...

University of California, Davis researchers have developed a brain-computer interface (BCI) that enables computer cursor control and clicking, using neural signals from the speech motor cortex. One ...

China has unveiled what researchers describe as the world’s first full-stack magnetic resonance imaging-based ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The computing interfaces of the not-too-distant future might move beyond ...

A new machine learning algorithm developed by researchers from the USC Viterbi School of Engineering and NYU's Center for Neural Science can isolate brain signals and decode how neural dynamics in the ...

Scientists at the University of California, San Francisco have developed a bilingual brain implant that uses artificial intelligence to help a stroke survivor communicate in Spanish and English for ...

Researchers from University of California San Diego have found a way to distinguish among hand gestures that people are making by examining only data from noninvasive brain imaging, without ...

Epilepsy isn’t always easy to diagnose. Seizures often don't occur during routine brain-wave recordings (EEGs), leaving doctors without the direct observation they need to make a clear diagnosis.

Machine-generated text reconstructed from brain activity is now accurate enough to approximate what a person heard, imagined or attempted to say. This is a capability that, offered as criminal ...

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 ...