Project Details

Description

Project Summary The Cross-Disciplinary Neural Engineering (CDNE) predoctoral training program will train the future research leaders able to bridge across the disciplinary boundaries of engineering, sciences and mathematics to neurosciences and the treatment of human brain health. Such leaders are necessary to produce lasting and relevant engineering, scientific and medical findings that will lead to improved human health. The CDNE program build from the strengths of the affiliated graduate programs and Penn State?s Center for Neural Engineering to create a new training program focused on cross- disciplinary training for graduate students. Trainees coming from a range of disciplinary programs including engineering, physics, mathematics and neuroscience graduate programs will complete a common neuroscience course core; be co-mentored by at least two trainers across disciplinary realms of Materials and Devices, Theory and Computation, Brain Physiology, and Human Brain Health; and participate in a range of activities designed to enhance cross disciplinary communication and collaboration, quantitative approaches, and scientific rigor. The CDNE will augment existing graduate programs in Engineering Science and Mechanics, Mechanical Engineering, Electrical Engineering, Mathematics, Physics, Anthropology, Neuroscience, and Biomedical Engineering, to provide specialized training in neural engineering. The CDNE program will fund the training of a total of 15 graduate students during the five years by a combination the NIH (10) and PSU (5) funded fellowships. Each trainee will be supported for a two-year period starting in their 3rd year. Trainees will gain experience working across disciplines and able to be both experts in one domain, and able to understand the language, science needs of other domains and thereby make significant contributions bridging across both.
StatusActive
Effective start/end date7/1/216/30/22

Funding

  • National Institute of Neurological Disorders and Stroke: $135,480.00

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.