Computational Neuroscience

We study how stimulation of the retina, LGN, and visual cortex produces artificial vision, and which biological details matter most for predicting the resulting percepts.

We compare representations in biological and artificial visual systems to understand what makes them similar, where they differ, and which biological constraints matter for learning and behavior.

We study vision during natural behavior: how eye, head, and body movements shape the visual input, how the brain responds, and how biological and artificial systems solve similar sensorimotor problems.

pulse2percept is an open-source Python framework for modeling how retinal and cortical visual prostheses produce percepts.