My lab uses theoretical methods to understand the computations our brains use to perceive and interpret our sensory inputs. How do our neural circuits infer the things out in the world?
Statistical inference is a principled framework for making sense of our sense data. We seek to predict how neural circuits would behave if they did perform or approximate inference, and we collaborate with experimentalists to test these predictions. This is interdisciplinary research that draws on neuroscience, physics, and machine learning.