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New algorithm disentangles intrinsic brain patterns from sensory inputs
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Algorithm Separates Intrinsic Brain Patterns from Sensory Inputs
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New algorithm disentangles intrinsic brain patterns from sensory inputs
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<p><a href="https://viterbi.usc.edu/directory/faculty/Shanechi/Maryam" target=" blank">Maryam Shanechi</a>, Dean’s Professor of Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team 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 visual inputs.</p>