Reconstructing the Neural Code for Real World Face Perception

Explore groundbreaking neuroscience research in this 18-minute webinar that investigates how the human brain processes faces during natural social interactions. Learn about innovative approaches to understanding real-world visual perception that go beyond traditional laboratory settings, utilizing multi-electrode intracranial recordings from participants during unscripted social encounters. Discover how researchers successfully reconstructed both visual input and neural activity patterns using bidirectional machine learning models, revealing the critical role of the social-vision pathway in natural face perception. Examine findings about neural tuning for facial expressions, including how the brain shows sharper sensitivity to expression types versus intensity, and demonstrates Weber's law principles for subtle versus strong facial expressions. Understand the oval-shaped neural tuning patterns that characterize real-world face processing and gain insights into cutting-edge methodologies for studying natural social perception. Presented by Dr. Avniel Ghuman from the University of Pittsburgh's Department of Neurological Surgery and MEG Research, this webinar offers valuable perspectives for neuroscientists, researchers, and professionals interested in visual perception, social cognition, and advanced neuroimaging techniques.