Translational Neuroscience and Neurotechnology Training (TNNT)

Abstract Advanced studies in neuroscience increasingly require sophisticated mathematical and computational skills in addition to a strong knowledge base in neurophysiology. Likewise, novel treatments of neurological diseases often require problem solvers (i.e. engineers) with both advanced computational skills as well as a solid foundation in systems neuroscience. The fundamental premise of this training program is that early engagement of computationally strong students, principally engineers, in understanding fundamental mechanisms of neuroscience will accelerate development of technology and solutions for the diagnosis and treatment of stroke, Parkinson’s disease, amyotrophic lateral sclerosis, traumatic brain injury, pain, epilepsy, paralysis, and other neurodegenerative disorders. With long-established research experience in these disorders existing at Washington University in St. Louis, we propose a training program that will develop common skill sets in engineering doctoral students towards solving difficult problems in neural engineering. Graduates of this novel training program will have the knowledge and expertise to pursue either an academic research career and/or a private sector research career in neurotechnology. We request support for four predoctoral students in the proposed five-year program. Cohorts will include five total predoctoral positions, each of two years in duration.