An eye whose iris resolves into a sampling grid and then into an
                  array of coloured units feeding a circuit — the passage from light
                  to representation to computation.

Welcome to the Vision Sciences Laboratory!

Our goal is to understand biological and artificial visual intelligence.

  • How does the human brain transform patterns of light into meaningful representations of the world — e.g. of objects and agents and the space around us — so that we can interact in our world?
  • How do attention and memory systems access and manipulate these representations? And how does vision interface with and constrain higher level cognition — e.g. social and physical inferences, aesthetic judgments and curiosity.
  • How do we leverage cognitive science approaches with deep neural network models together, to understand how machines are learning, where they are failing, and to inform and improve our own cognitive models of visual intelligence?

We approach these questions by using AI/ML methods and models, alongside our trusty empirical toolkit of human behavioral and brain imaging studies.