Maryam Shanechi, the Sawchuk Chair in Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team have developed a new AI algorithm that can separate brain patterns related to a particular behavior and improve brain-computer interfaces. The algorithm can also be used to discover new brain patterns. The work has been published in the journal Nature Neuroscience. The algorithm is named DPAD, for “Dissociative Prioritized Analysis of Dynamics,” is engineered to dissociate brain patterns related to a particular behavior from others. For example, the algorithm can decode movements impulses from other brain activity more accurately than prior methods and has the potential to decode mental states such as pain or depressive mood, leading to better treatment of mental health conditions.
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