Introduction to machine learning concepts with a focus on relevant ideas from computational neuroscience. Information processing and learning in the nervous system. Neural networks. Supervised and unsupervised learning. Basics of statistical learning theory. Pre: (311 or EE 367) and 314, or consent. Recommended: MATH 307. (Once a year)