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.
To advance neuroscience discovery by uniting neuroscience, engineering and computational data science to understand the structure and function of the brain.