Sparse coding with an overcomplete basis set: A strategy employed by V1?

@article{Olshausen1997SparseCW,
  title={Sparse coding with an overcomplete basis set: A strategy employed by V1?},
  author={B. Olshausen and D. Field},
  journal={Vision Research},
  year={1997},
  volume={37},
  pages={3311-3325}
}
  • B. Olshausen, D. Field
  • Published 1997
  • Medicine, Psychology
  • Vision Research
  • The spatial receptive fields of simple cells in mammalian striate cortex have been reasonably well described physiologically and can be characterized as being localized, oriented, and bandpass, comparable with the basis functions of wavelet transforms. Previously, we have shown that these receptive field properties may be accounted for in terms of a strategy for producing a sparse distribution of output activity in response to natural images. Here, in addition to describing this work in a more… CONTINUE READING
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    References

    SHOWING 1-10 OF 72 REFERENCES
    What Is the Goal of Sensory Coding?
    • D. Field
    • Mathematics, Computer Science
    • Neural Computation
    • 1994
    • 1,293
    Entropy reduction and decorrelation in visual coding by oriented neural receptive fields
    • J.G. Daugman
    • Computer Science, Medicine
    • IEEE Transactions on Biomedical Engineering
    • 1989
    • 171
    Natural image statistics and efficient coding.
    • 556
    • PDF
    Natural Image Statistics and Eecient Coding
    • 27
    Relations between the statistics of natural images and the response properties of cortical cells.
    • D. Field
    • Physics, Medicine
    • Journal of the Optical Society of America. A, Optics and image science
    • 1987
    • 3,079
    • PDF
    Efficient Coding of Natural Scenes in the Lateral Geniculate Nucleus: Experimental Test of a Computational Theory
    • 453
    • PDF
    Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex
    • 306
    • PDF
    What Does the Retina Know about Natural Scenes?
    • 660
    • PDF