PhD in Computational Neuroscience
Acquire the foundational background in computational modeling, neurorehabilitation and neuroimaging neuroscience
Study brain function in terms of the information processing properties of the structures that make up the nervous system.
Areas of focus include:
- Statistical models for magnetic resonance imaging
- Computational models of gene regulatory networks
- Predictive models of neurophysiological processes and clinical outcomes
- Human visuomotor processing
- Functional neuroimaging
- Brain structural and functional connectivity
- Spinal cord imaging and human motor control
- Neural and neurodevelopmental disorders
- Neurodegenerative diseases
- Rehabilitative strategies
Explores processes from single neurons to neuronal networks including neural interconnections, neural signal processing, and synaptic plasticity.
Explores the mechanisms and clinical and laboratory methods for studying neural disorders and the treatment strategies to address them.
Explores imaging physics, mathematics, and methods towards problems in basic and applied neuroscience.
Requirements and course work can be found on the Graduate School bulletin.
Take the next step towards your future
Departments & Faculty
This doctoral program brings together faculty from Biological Sciences, Biomedical Engineering, Biomedical Sciences, Physical Therapy-Exercise Science, Mathematics Statistics & Computer Science, Philosophy, and Psychology. Their collective expertise will be able to provide a structured neuroscience-based curriculum that will allow for educational and research opportunities in this rapidly expanding subject area and will lead students to emerging career opportunities. Learn more about faculty research areas by visiting their department webpages.
Dr. Leigh Ann Mrotek- biomedical engineering
Applications are due to the Graduate School by December 1 for the following fall term.
The recruitment committee reviews applications and selects a sub-group for phone interviews. After phone interviews are complete, the applications are selected for on-campus interviews. All applicants are notified of the committee’s decision.