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- W330160393 abstract "Abstract : The structure of receptive fields in the visual cortex is believed to be shaped by unsupervised learning. A simple variant of unsupervised learning is the extraction of principal components. In this paper, we derived analytically the form of the principal components of natural images. This derivation relies on results about the covariance matrix of natural images. Our results predict both the shapes and the phases of the receptive fields. We also compared our results to numerical simulation results. Finally the biological relevance of our results is discussed." @default.
- W330160393 created "2016-06-24" @default.
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- W330160393 date "1993-05-17" @default.
- W330160393 modified "2023-09-27" @default.
- W330160393 title "Principal Components of Natural Images: An Analytical Solution" @default.
- W330160393 doi "https://doi.org/10.21236/ada264800" @default.
- W330160393 hasPublicationYear "1993" @default.
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