We build our experiments in Virtual and Augmented Reality, carefully controlling the visual scenes that human subjects interact with to examine the dynamic relationship between eye motion and the world around it. We measure oculomotor behavior with eye trackers, combining this information with head + full body motion capture to reconstruct the information delivered to the retina over time.

Using data retrieved from the lab, we combine the approaches of behavioral dynamics and computational neuroscience to build dynamic systems that describe the relationship between the retinotopic visual information and corresponding locomotor action. 

We then take our model and simulate data collected in complex real-world scenarios - comparing model estimates to behavior of humans "in the wild."

Our models successes and failures inspire ideas for new experiments; and the modeling cycle starts over again.

The ViLoN Lab is dedicated to the principles of open science, making research publications, conference presentations, data sets, and educational materials freely available for everyone.