By tuning into a subset of brain waves, University of Michigan researchers have dramatically reduced the power requirements of neural interfaces while improving their accuracy. This discovery could lead to long-lasting brain implants that can both treat neurological diseases and enable mind-controlled prosthetics and machines. The team, led by Cynthia Chestek, associate professor of biomedical … Continue reading Brain interface pioneers find meaningful signal in the grey matter noise