Brian McCann has been using virtual reality as a tool to study human perception for over a decade. His doctoral work, "Naturalistic Depth Perception," is the first study to quantify distance acuity in human observers using natural images as stimuli. Prior to his doctoral work, Brian received a degree in Computer Science from the University of Rochester in 2003. Upon completing the degree, Brian remained with the Center for Visual Sciences, where he spent 4 additional years as a technician and researcher studying depth cue combination and sensorimotor control. Currently, Brian's work focuses on the statistical regularities in natural images and their influence on neural computation.

Zoltan Nadasdy is a research scientist whose main interest is to understand the fundamental mechanisms of neural coding, in particular the relationship between intrinsic oscillations and spike patterns. He developed these ideas over the years of studying Neuroscience at the Rutgers University (Ph.D.) and during his post-doctoral trainings in electrophysiology at the Hebrew University of Jerusalem and at the California Institute of Technology. His research areas are spike sequences, neural coding and neural correlates of visual perception. Currently, he studies the neuronal mechanisms of human spatial cognition spatial navigation.