Our goal is to develop neurotechnologies to restore lost motor functions in paralyzed individuals. We use electrophysiology, voltammetry, electrical stimulation and mathematical modeling to understand how sensorimotor information is encoded and learning is achieved in the central nervous system of the rodents. We use computational neuroscience and machine learning techniques in order to develop adaptive and closed-loop neuroprosthetic systems.