Abstract Most studies of the neuronal mechanisms of visual perception and cognition utilize tasks that control for the influence of eye movements. Implicit in this approach is the assumption that the effects of eye movement are finite and well-characterized. Yet decades of research have demonstrated that the effects of eye movements on brain activity are dynamic and extend well beyond the time of the physical movement of the eyes. Thus, experimenters can restrict eye movements for experimental ease, but ultimately a meaningful account of vision for the translation of laboratory results to a clinical setting must link what we see to how we engage with the visual world. Assessing the impact of eye movements on visual processing has been difficult to accomplish because different types of eye movements naturally interact, but they have been studied in isolation. The standard approach makes it difficult to scale-up the existing body of knowledge in an ecologically valid way. To address this knowledge gap, in recent experiments we measured the responsiveness of prefrontal cortical neurons to different types of eye movements. We discovered populations of prefrontal neurons that respond robustly to both fast and slow eye movements. These measurements suggest a novel view of visual-motor integration in prefrontal cortex in which eye movements, like other signals in prefrontal cortex, exhibit mixed selectivity. In this view, information about where, when, and how to move the eyes is regulated by shared neural circuitry. The flexibility of this circuitry allows for the precise coordination of visual perception and different types of eye movements. The diversity of brain signals present in frontal cortex makes it an ideal testbed for dissecting the neural circuitry that mediates how and why we move our eyes. We propose experiments that take an eye movement- centric approach to record from populations of frontal lobe neurons to address longstanding issues in active vision. Our first specific aim is to record from prefrontal neurons to determine the extent of shared vs. independent contributions of prefrontal activity to vision and different types of eye movements. Our second specific aim involves recording in both brain hemispheres simultaneously to determine how the multitude of potential eye movement commands are resolved to generate a single visual behavior. The final specific aim is to measure neuronal activity across frontal cortex to determine whether the coordinated timing of activity across brain regions governs the ability to switch between different types of eye movements. Collectively, these experiments will use targeted population recordings across three distinct scales of cortical signals to provide new insights into the fundamental mechanisms that support everyday visual function.