New algorithm disentangles intrinsic brain patterns from sensory inputs

New algorithm disentangles intrinsic brain patterns from sensory inputs

Maryam Shanechi, 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.The work has been published in the Proceedings … Read more