An important milestone for brain-computer interfaces has been achieved. A new peer-reviewed neuroscience study led by researchers at the University of California, Los Angeles (UCLA) demonstrates a performance breakthrough in noninvasive brain-computer interface (BCI) technology by harnessing machine learning to enable users to move a cursor or robotic arm using just their thoughts.

“To significantly increase the BCI performance, we use shared autonomy, where artificial intelligence (AI) copilots collaborate with BCI users to achieve task goals ,” wrote UCLA associate professor Jonathan Kao, the study’s lead author, along with UCLA co-authors Chang Xie, Mike Qu, Charles Kobashigawa, Brent Gaisford, Brandon McMahan, Xu Yan, Abhishek Mishra, Sangjoon Lee, and Johannes Lee.

Brain-com

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