A seminar covering topics in the theory of neural information processing, focused on perception, action, learning and memory. Through reading, discussion and working with computer models students will learn fundamental concepts underlying current mathematical theories of brain function including information theory, population codes, deep learning architectures, auto-associative memories, reinforcement learning and Bayesian optimality.

Same as BIOD08H3