Humans perceive the world in rich social detail. In just a fraction of a second, we not only detect the objects and people in our environment, but also quickly recognize people’s emotions, goals, actions, and social interactions. Detecting these higher-level properties is extremely challenging even for state-of-the-art computer vision systems.  How do humans extract all of this complex information with such speed and ease?  Our research aims to answer this question using a combination of human neuroimaging, intracranial recordings, machine learning, and behavioral techniques.