Faculty Areas of Interest
Computational neuroscience
Computational neuroscience uses mathematics to understand the computational function of neural systems. It includes the study of neural components as computational elements; the building of mathematical models to describe neural systems and behavior; the exploration of theoretical principles that underlie biological function and the development of mathematical tools for the analysis of experimental data.
Faculty
Marc Binder
mdbinder@u.washington.edu
Input-Output Functions of Motoneurons
Daniel Cook
dcook@u.washington.edu
Physiological knowledge representation for multiscale biosimulation: Key to the virtual human
Eberhard Fetz
fetz@u.washington.edu
Cortical control of movement; neural modeling
Albert Fuchs
fuchs@u.washington.edu
Neural control of eye movement
Sharona Gordon
seg@u.washington.edu
Molecular basis of sensory transduction
Greg Horwitz
ghorwitz@u.washington.edu
Neural Basis of Color Perception
Fred Rieke
rieke@u.washington.edu
Signal transduction in the visual system
Michael Shadlen
shadlen at u dot washington dot edu
Cortical foundations of visual perception
William Zagotta
zagotta@u.washington.edu
Molecular mechanisms of ion channel function