Achievement

Sponsored new course: CS379C. Computational Models of the Neocortex offered Sprint 2009-2010. Description: The problem of modeling the primate perceptual neocortex using probabilistic graphical models, including Bayesian and Markov networks, and extensions to model time and change such as hidden Markov models and dynamic Bayesian networks. Problems of learning, inference, and attention. Sources include literature in computational and cognitive neuroscience, machine learning, and other fields that bear on how biological and engineered systems make sense of the world. Prerequisites: basic probability theory, algorithms, and statistics.