Scientists have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of ...
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 ...
The human voice represents one of our most complex biological achievements—a sophisticated interplay between brain, nerves, muscles, and breath that produces the nuanced sounds of human speech. As ...
Scientists have developed a new AI algorithm that can separate brain patterns related to a particular behavior. This work promises to improve brain-computer interfaces and aid with the discovery of ...
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Scientists identify dynamic brain patterns linked to symptom severity in children with autism
Recent research has identified specific patterns of brain activity that distinguish young children with autism from their typically developing peers. These patterns involve the way different regions ...
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