Dynamics of information processing in the primary visual cortex

Vision underlies innumerable behaviours and actions. Despite tremendous, dynamic changes in the inputs to the visual system, such as the variations in ambient light levels, our perception of the visual world is highly reliable. Understanding how dynamic visual information is processed by the brain under different conditions is a fundamental goal in neuroscience. Here, we aimed to characterise how features are processed by neurons in the primary visual cortex when the stimulus luminance and contrast varied. We showed that the temporal properties of feature processing depend on the luminance and contrast of the stimuli, and neurons dynamically adjust their coding strategies based on changes in stimulus properties. Our study proposes a novel approach to investigate adaptive information processing in a multidimensional stimulus space.