The University of Washington’s Computational Neuroscience Center is a focal point for research in mathematical and computational neuroscience spanning the full spectrum of scales, mechanisms, and functions of the brain — from ion channel stochasticity in auditory processing to insect flight control to human/computer interfaces. The Center, which also houses the Swartz Center for Theoretical Neuroscience, is the campus home for undergraduate, graduate and postdoctoral training and research programs linking theoretical and experimental neuroscience to advance understanding of the principles of neural computation.
Participating faculty members’ research includes theory, computation and data analysis and members interact extensively with colleagues in quantitative experimentation and imaging. Members hold positions in departments throughout the College of Arts and Sciences, the School of Medicine and the School of Engineering — giving students the chance to find their natural disciplinary home — but are closely connected through a dense web of interdisciplinary, cross-departmental collaboration.
- Predicting how and when hidden neurons skew measured synaptic interactions. Braden Brinkman, Fred Rieke, Eric Shea-Brown, Michael Buice
- Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data. Thomas Moren, Tom Daniel, Steve Brunton, Bing Brunton
- Rapid and widespread white matter plasticity during an intensive reading intervention Elizabeth Huber, Patrick Donnelly, Ariel Rokem, Jason Yeatman