Explore the concept of the Sparse Manifold Transform in this 54-minute lecture by Bruno Olshausen from UC Berkeley. Delve into computational theories of the brain as part of the Simons Institute's series on neuroscience. Gain insights into how this mathematical framework can be applied to understanding neural processing and representation in the brain. Examine the intersection of sparse coding, manifold learning, and their potential implications for advancing our knowledge of brain function and artificial intelligence.