How does the visual system adapt when the amount of light in the scene changes, such as when an animal leaves a shaded area or when night turns to day? As light levels increase and the relative amount of noise in the scene decreases, efficient coding theory predicts a transition in sensory processing. At low light levels, sensory systems should integrate spatial and temporal information, while at high light levels, neural processing should differentiate incoming signals to subtract predictive components. Previous experimental work has shown that, indeed, the center-surround structure of spatial filters becomes more pronounced and their temporal components faster and more biphasic with increasing luminance. While these effects have been shown in small samples of ex vivo retinal neurons, a large-scale in vivo study of visual adaptation is needed to investigate how visual processing is modulated at the population level in an intact system. Here, we have begun to address this question using neuropixel recordings in the superior colliculus of awake-behaving mice, measuring high-resolution spatiotemporal receptive fields at different light levels. Preliminary results suggest that as luminance increases by two orders of magnitude, spatial filters remain relatively unchanged, and temporal filters exhibit pronounced adjustments, slowing down by as much as 40 ms. These observations underscore the importance of temporal information processing in visual adaptation and highlight the need for further in vivo studies to fully understand the compensatory mechanisms involved.