The neural circuits of the visual system are a hallmark example of complex systems. Our goal is to understand how neural circuits in the retina implement computations by connecting different cell types with distinct morphologies, biophysics and genetics. Understanding their “building blocks” will help us to unravel the principles of neural computation and allow us to understand how neural function is affected in disease. To this end, we develop machine learning algorithms and statistical solutions for large-scale neuroscience and clinical diagnostics.