May 2008
Volume 8, Issue 6
Free
Vision Sciences Society Annual Meeting Abstract  |   May 2008
The parvo and magno-cellular systems encode natural image statistics parameters
Author Affiliations
  • H.Steven Scholte
    Department of Psychology, University of Amsterdam
  • Sennay Ghebreab
    Intelligent Systems Lab Amsterdam, University of Amsterdam
  • Arnold Smeulders
    Intelligent Systems Lab Amsterdam, University of Amsterdam
  • Victor Lamme
    Department of Psychology, University of Amsterdam
Journal of Vision May 2008, Vol.8, 686. doi:10.1167/8.6.686
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      H.Steven Scholte, Sennay Ghebreab, Arnold Smeulders, Victor Lamme; The parvo and magno-cellular systems encode natural image statistics parameters. Journal of Vision 2008;8(6):686. doi: 10.1167/8.6.686.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Natural images are highly structured in their spatial configuration. It has been shown that the distribution of contrasts of natural images is almost always adequately described by a Weibull type distribution (Geuseboek & Smeulders, 2003) in which 2 free parameters are fitted. These 2 parameters appear to structure the natural image space in a highly meaningful way. Here we examined to which degree the brain is sensitive to these parameters by covarying the ERP responses of subjects viewing 1599 natural images with these 2 parameters. The fitted parameters explained 50% of the variance of the early ERP signal, contrasting sharply with more traditional contrast measurements like Fourier, Michelson and RMS, which explained only 5–20% of the ERP variance. In addition, we found a correlation of 0.84% and 0.93% between the two parameters of the Weibull type distribution fit and a model of the parvo- and magnocellular system. Both observations suggest that the parvo- and magnocellular system evolved, amongst others, to estimate these parameters.

Scholte, H. S. Ghebreab, S. Smeulders, A. Lamme, V. (2008). The parvo and magno-cellular systems encode natural image statistics parameters [Abstract]. Journal of Vision, 8(6):686, 686a, http://journalofvision.org/8/6/686/, doi:10.1167/8.6.686. [CrossRef]
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