AI maps brain signals to movements

Maryam Shanechi and her team at USC have developed a new AI algorithm called DPAD that can separate brain patterns linked to specific behaviors, like arm movements, from other activities. This work, published in Nature Neuroscience, improves brain-computer interfaces and could help paralyzed patients move again. The algorithm could also be used in the future to decode mental states.