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- W2011925573 abstract "Understanding why spectra that are physically the same appear different in different contexts (color contrast), whereas spectra that are physically different appear similar (color constancy) presents a major challenge in vision research. Here, we show that the responses of biologically inspired neural networks evolved on the basis of accumulated experience with spectral stimuli automatically generate contrast and constancy. The results imply that these phenomena are signatures of a strategy that biological vision uses to circumvent the inverse optics problem as it pertains to light spectra, and that double-opponent neurons in early-level vision evolve to serve this purpose. This strategy provides a way of understanding the peculiar relationship between the objective world and subjective color experience, as well as rationalizing the relevant visual circuitry without invoking feature detection or image representation." @default.
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- W2011925573 date "2014-07-14" @default.
- W2011925573 modified "2023-10-14" @default.
- W2011925573 title "Properties of artificial networks evolved to contend with natural spectra" @default.
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- W2011925573 doi "https://doi.org/10.1073/pnas.1402669111" @default.
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