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: 235, or consent. Recommended: MATH 307. (Once a year) (Cross-listed as ICS 435)