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Invariant Recognition Shapes Neural Representations of Visual Input
2018
Annual Review of Vision Science
Recognizing the people, objects, and actions in the world around us is a crucial aspect of human perception that allows us to plan and act in our environment. Remarkably, our proficiency in recognizing semantic categories from visual input is unhindered by transformations that substantially alter their appearance (e.g., changes in lighting or position). The ability to generalize across these complex transformations is a hallmark of human visual intelligence, which has been the focus of
doi:10.1146/annurev-vision-091517-034103
pmid:30052494
fatcat:hztby7443jgzzp5mjvmfc7coou