For this study, the UC San Diego team used a helmet consisting of an embedded 306-sensor array to sense the magnetic fields produced by the brain’s electric currents flowing between neurons.

Machine learning decodes hand gestures from noninvasive brain images, giving hope to a new type of brain-computer interface to help the paralyzed. Skip to main content Mobile Navigation ...