The University of Washington’s Computational Neuroscience Center – Decoding Intelligence
We are 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.
- Coding Principles in Adapation Alison Weber, Kamesh Krishnamurthy, Adrienne Fairhall
- Population adaptation in efficient balanced networks. Gabrielle Gutierrez, Sophie Denève
- Feedback through graph motifs relates structure and function in complex networks. Yu Hu, Steven L Brunton, Nicholas Cain, Stefan Mihalas, J. Nathan Kutz, Eric Shea-Brown