Skip to main content

Movie Reconstruction from Brain Signals: "Mind-Reading"

Bin Yu (UC Berkeley)
Data Science
Ballroom AB
Average rating: ****.
(4.00, 3 ratings)

In a thrilling breakthrough at the intersection of neuroscience and statistics, penalized Least Squares methods have been used 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 research that led to the development of the system which was selected as one of Time Magazine’s 50 Best Inventions of 2011.

Photo of Bin Yu

Bin Yu

Chancellor's Professor, Departments of Statistics and of Electrical Engineering & Computer Science, UC Berkeley

Bin Yu is Chancellor’s Professor in the Departments of Statistics and of Electrical Engineering & Computer Science at the University of California at Berkeley. She was Chair of Department of Statistics from 2009 to 2012.She has published over 80 scientific papers in premier journals in statistics, machine learning, information theory, signal processing, remote sensing, neuroscience, and networks.

She is a Fellow of the American Academy of Arts and Sciences. She was a Guggenheim Fellow in 2006. She is a Fellow of AAAS, IEEE, IMS, and ASA. She is President of IMS (Institute of Mathematical Statistics) and serving on the Scientific Advisory Board (SAB) of IPAM at UCLA and on the Board of Trustees (BOT) of ICERM at Brown University. She was co-chair of the National Scientific Committee of SAMSI, and served on the Board of Mathematical Sciences and Applications (BMSA) of the U.S. National Academy of Sciences.