Face processing plays a central role in everyday life. Faces also represent a complex and rich class of stimuli that humans readily process, recognize, and make judgments on. Understanding how the brain represents and processes faces is not only important in its own right, but provides a valuable opportunity for studying how the brain selectively and efficiently implements sophisticated computational processes. In this talk, Dr. Yu will give an overview of her recent work modeling human face processing. She and her lab leverage sophisticated computer vision techniques to arrive at an efficient and neurally plausible representation of faces, and develop a statistical modeling framework to investigate cognitive and social aspects of human face processing.

This seminar is free with registration. It will take place in the Jerome L. Greene Science Center (9th floor lecture hall) on Columbia's Manhattanville campus. All attendees must register in order to gain access to the Greene Science Center.

This seminar is part of the the Cognition and Decision Seminar Series, which is sponsored by the Program for Economic Research and the Center for Decision Sciences.