Introduction to computational neuroscience. Examines neural network and learning theory, coding, dynamics, memory, computation and learning in recurrent and feed forward neural circuits. Three lecture hours a week for one semester. Only one of the following may be counted: Electrical Engineering 385V (Topic: Computational Neuroscience), Neuroscience 380C, 385L (Topic: Computational Neuroscience). Prerequisite: Graduate standing, some differential equations and linear algebra, and consent of instructor.