Movie Reconstruction From Brain Signals and Statistical Stability

Recently, researchers have attempted to answer one of the important questions in computational neuroscience: Can the vast quantities of high-dimensional neuroscience data available today be used to decode brain activities?
Professor Bin Yu reports on a thrilling breakthrough at the intersection of neuroscience and statistical machine learning that is based on joint work with the Gallant Lab on campus. They have used penalized Least Squares methods to construct a "mind-reading" algorithm that reconstructs movies from fMRI brain signals. The story of this algorithm is a fascinating tale of the interdisciplinary collaboration that was behind the development of the predictive system that was selected as one of Time Magazine's 50 Best Inventions of 2011.

Speaker: Bin Yu, UC Berkeley