This project established a quantitative framework for measuring and analyzing mouse locomotor coordination. We developed an automated tracking and analysis system, LocoMouse, and used it to identify specific cerebellum-dependent features of locomotor coordination (Machado et al., eLife 2015). Comparing the specific patterns of locomotor features that result from distinct neural circuit perturbations within and outside the cerebellum (Machado et al., eLife 2015; Correia et al., eLife 2017; Machado et al., eLife 2020; Albergaria et al., bioRxiv 2020) has provided a roadmap for linking distinct gait abnormalities to underlying neural circuits. We also developed a transparent, split-belt treadmill for mice that allowed us to induce acute perturbations to locomotor coordination and analyze how animals learn to restore locomotor symmetry (Darmohray et al., Neuron 2019). Combining this quantitative behavioral approach with genetic circuit dissection has revealed a critical role for cerebellar circuits in the separate control of precise step timing and placement during walking. Together, these experiments have established mouse locomotion as a powerful system for studying the neural control of movement.