A robotic manipulator helps stroke patients improve their motor function using special training whereby brain signals connect with a computer. Researchers at the University of Adelaide’s School of Electrical and Electronic Engineering in a “proof-of-principle” study described how this brain-computer interface (BCI) produced a 36% improvement in motor function of a stroke-damaged hand in just 10 training sessions of 30 minutes each. When a subject thinks about performing a specific motor function, like grasping an object, the BCI takes the electrical signals and transmits them to a computer. An advanced mathematical algorithm then interprets the brain signals and supplies sensory feedback through a robotic manipulator. After a stroke the brain needs to re-train the lost skills. BCIs have been proposed as an alternate therapy for stroke patients. If this can be generalized, it will be a major step forward.