A brain-machine interface (BMI) records neural activity, decodes the intent of the participant, and generates control signals to operate assistive devices. Bi-directional BMIs can write signals back into the brain though electrical stimulation based on the recorded neural activity. These neurotechnologies have been advancing rapidly with therapeutic potential for several neurological diseases and disorders. Through lectures and reviews of the literature, the course will cover motor BMIs for robotics and communication, cognitive neural prosthetics, stimulation to restore sensation, and different invasive and non-invasive recording and stimulation technologies. Given in alternate years; offered 2023-24.