Computational Neuroscience

3 credits

Introduction to computational methods for understanding nervous systems and the principles governing their operation. Topics include representation of information by spiking neurons, information processing in neural circuits, and algorithms for adaptation and learning. Prerequisite: MATH 126 or MATH 136; MATH 208; and CSE 312.