This research investigates the neural “language” of vision, asking whether the brain encodes images using compositional or symbolic patterns. Using machine learning and artificial neural networks, the work reveals evidence for a compositional visual code, informing the future design of advanced visual prosthetics.

This research develops a new vision test to improve glaucoma detection, especially in short-sighted individuals. By measuring the smallest rapidly flashing visual stimulus rather than the dimmest, the method better distinguishes glaucoma from myopia, enabling earlier diagnosis, reduced misdiagnosis, and improved outcomes for patients at risk of vision loss.