To guide behavior, the brain must infer the structure of the external world based on incomplete and unreliable sensory inputs. In the visual system, the signals available to the brain are limited to the two-dimensional images formed on the retinae. To reconstruct the three-dimensional location of objects in the environment, visual circuits must infer the missing depth information. Motion parallax resulting from animals’ movements provides an essential and poorly understood cue of depth. I will present evidence that neurons in the mouse primary visual cortex (V1) are tuned for depth from motion parallax. Using two-photon calcium imaging in virtual reality, we show that V1 neurons integrate signals related to optic flow and the animals’ locomotion to give rise to depth selective responses. These results suggest that the widespread modulation of visual responses in V1 by locomotion may function in estimation of depth of visual cues.