Decoding and Reconstructing the Neural Basis of Real World Social Perception
The goal of this project is to develop the first fully ecologically validated models of visual perception. We will combine intracranial EEG (iEEG) recordings captured during long stretches of natural visual behavior with cutting-edge computer vision, machine learning, and statistical analyses to understand the neural basis of natural, real-world visual perception. To accomplish this goal, the researchers will record electrical brain activity from patients undergoing neurosurgical treatment for epilepsy. This will allow us to decode the spatiotemporal patterns of neural activity and reconstruct the expressive features of people they see at these different levels on a moment-to-moment basis.