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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
It is shown that a learning algorithm that attempts to find sparse linear codes for natural scenes will develop a complete family of localized, oriented, bandpass receptive fields, similar to those found in the primary visual cortex. Expand
Relations between the statistics of natural images and the response properties of cortical cells.
  • D. Field
  • Computer Science, Medicine
  • Journal of the Optical Society of America. A…
  • 1 December 1987
The results obtained with six natural images suggest that the orientation and the spatial-frequency tuning of mammalian simple cells are well suited for coding the information in such images if the goal of the code is to convert higher-order redundancy into first- order redundancy. Expand
Sparse coding with an overcomplete basis set: A strategy employed by V1?
These deviations from linearity provide a potential explanation for the weak forms of non-linearity observed in the response properties of cortical simple cells, and they further make predictions about the expected interactions among units in response to naturalistic stimuli. Expand
Contour integration by the human visual system: Evidence for a local “association field”
It is suggested that it is possible to take advantage of the redundancy in continuous, but non-aligned features by associating the outputs of filters with similar tuning, and suggest that some of the processes involved in texture segregation may have a similar explanation. Expand
What Is the Goal of Sensory Coding?
  • D. Field
  • Mathematics, Computer Science
  • Neural Computation
  • 1 July 1994
It is proposed that compact coding schemes are insufficient to account for the receptive field properties of cells in the mammalian visual pathway and suggested that natural scenes, to a first approximation, can be considered as a sum of self-similar local functions (the inverse of a wavelet). Expand
Sparse coding of sensory inputs
Recent physiological recordings from sensory neurons have indicated that sparse coding could be a ubiquitous strategy employed in several different modalities across different organisms. Expand
Natural image statistics and efficient coding.
It is suggested that a good objective for an efficient coding of natural Scenes is to maximize the sparseness of the representation, and it is shown that a network that learns sparse codes of natural scenes succeeds in developing localized, oriented, bandpass receptive fields similar to those in the mammalian striate cortex. Expand
Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes
The slope of the RCS was found to provide a reasonable prediction of physical blur across a variety of scenes in spite of the variability in their amplitude spectra, and was also found to produce a good prediction of perceived blur as judged by human subjects. Expand
Statistical regularities of art images and natural scenes: spectra, sparseness and nonlinearities.
It is argued that artists do not simply scale the intensity range down but use a compressive nonlinearity in their paintings, and finding basic statistical regularities in paintings' spatial structure could grant insights into the range of spatial patterns that humans find compelling. Expand
Human discrimination of fractal images.
This paper investigates the question of which value of the exponent beta describes the power spectrum of the ensemble of images to which the visual system is optimally tuned, and results are consistent with, but do not provide direct evidence for, the theory that thevisual system is tuned to an ensemble of image with Markov statistics. Expand