An introduction to mathematical modeling of neural systems. Topics include the biophysics of individual neurons, the collective dynamics of networks of neurons, neuronal encoding and processing of sensory information, and neuronal plasticity mechanisms. This course emphasizes the trade-offs involved in implementing mathematical models of varying levels of complexity. Prerequisite: MATH 280 or permission of instructor.