Neural engineering is a rapidly growing field in which engineering principles and techniques are used to understand, enhance, restore, or otherwise treat the nervous system. Research within Neural Engineering includes studying and deciphering neural mechanisms and their function. It also involves development of new technologies for sensing, monitoring, and modulating the nervous system, both for clinical applications and scientific inquiry. These include, but are not limited to, development of neural prosthetics, brain-machine interface systems, neurostimulators, and neural imaging technologies. The neural engineering track at UConn combines expertise in human and animal neurophysiology, sensory and computational neuroscience, neuromodulation, and neural prosthetics to provide the students with a comprehensive training in the fundamental engineering and neuroscience principles for industrial and academic careers.