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Explore the computational principles behind sensorimotor learning in this lecture by Professor Daniel Wolpert. Delve into the fascinating world of motor memory formation, adaptation, and utilization as humans acquire and refine various skills throughout their lives. Discover how contextual inference plays a crucial role in memory creation, updating, and expression, challenging dominant single-context learning theories. Examine experimental evidence supporting a novel repertoire-learning model that explains key features of motor learning and predicts new phenomena. Gain insights into how diverse experiences shape motor behavior and the underlying mechanisms of human movement science.