Abstract: Optic flow, the visual motion generated during self-movement, provides essential information for navigation and stabilization behaviors across animal species. However, how neural circuits process optic flow to generate perception and behavior remains unclear. To investigate the neural circuit mechanisms underlying optic flow processing, our lab uses zebrafish as a model system, combining large-scale neuronal activity imaging with unbiased classification of functional neuron types. We previously characterized population activity in the pretectum, identifying both monocular and binocular optic flow-responsive neurons, suggesting that this region integrates binocular inputs and contributes to behavioral control beyond a purely sensory role. Using a visual motion illusion paradigm, we further identified a spatially clustered group of neurons that forms a key node in the optic flow circuit. More recently, we developed a method to link the functional labeling using CaMPARI2 and single-cell RNA sequencing (CaMPARI-seq) and identified genetically defined populations of optic flow-responsive neurons. While our findings were largely consistent with predictions from functional imaging, they also revealed aspects of circuit organization that could not have been anticipated from functional imaging alone. Together, these studies provide new insights into the neural basis of visual perception and behavior at single-neuron resolution in the vertebrate brain.