Brain-controlled cursor sets record for accuracy
The path of the cursor from the starting point to the target was straighter, and it reached the target twice as quickly as earlier systems, achieving 75 to 85 percent of the speed of real arms.
“This paper reports very exciting innovations in closed-loop decoding for brain-machine interfaces,” says Jose Carmena, associate professor of electrical engineering and neuroscience at the University of California, Berkeley.
“These innovations should lead to a significant boost in the control of neuroprosthetic devices and increase the clinical viability of this technology.”
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