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Independent component filters of natural images compared with simple cells in primary visual cortex.

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Affiliations

  • 1. Department of Biophysics, University of Groningen, The Netherlands.
      Authors
    • van Hateren JH 1
    (1 author)

ORCIDs linked to this article

Proceedings. Biological Sciences, 01 Mar 1998, 265(1394):359-366
https://doi.org/10.1098/rspb.1998.0303 PMID: 9523437 PMCID: PMC1688904

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Abstract 

Properties of the receptive fields of simple cells in macaque cortex were compared with properties of independent component filters generated by independent component analysis (ICA) on a large set of natural images. Histograms of spatial frequency bandwidth, orientation tuning bandwidth, aspect ratio and length of the receptive fields match well. This indicates that simple cells are well tuned to the expected statistics of natural stimuli. There is no match, however, in calculated and measured distributions for the peak of the spatial frequency response: the filters produced by ICA do not vary their spatial scale as much as simple cells do, but are fixed to scales close to the finest ones allowed by the sampling lattice. Possible ways to resolve this discrepancy are discussed.

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Proc Biol Sci. 1998 Mar 7; 265(1394): 359–366.
PMCID: PMC1688904
PMID: 9523437

Independent component filters of natural images compared with simple cells in primary visual cortex.

J H van Hateren and A van der Schaaf
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Abstract

Properties of the receptive fields of simple cells in macaque cortex were compared with properties of independent component filters generated by independent component analysis (ICA) on a large set of natural images. Histograms of spatial frequency bandwidth, orientation tuning bandwidth, aspect ratio and length of the receptive fields match well. This indicates that simple cells are well tuned to the expected statistics of natural stimuli. There is no match, however, in calculated and measured distributions for the peak of the spatial frequency response: the filters produced by ICA do not vary their spatial scale as much as simple cells do, but are fixed to scales close to the finest ones allowed by the sampling lattice. Possible ways to resolve this discrepancy are discussed.

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Selected References

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  • Baddeley R. Searching for filters with 'interesting' output distributions: an uninteresting direction to explore? Network. 1996 May;7(2):409–421. [Abstract] [Google Scholar]
  • Barlow HB. Single units and sensation: a neuron doctrine for perceptual psychology? Perception. 1972;1(4):371–394. [Abstract] [Google Scholar]
  • Bell AJ, Sejnowski TJ. The "independent components" of natural scenes are edge filters. Vision Res. 1997 Dec;37(23):3327–3338. [Europe PMC free article] [Abstract] [Google Scholar]
  • Dan Y, Atick JJ, Reid RC. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. J Neurosci. 1996 May 15;16(10):3351–3362. [Abstract] [Google Scholar]
  • Daugman JG. Two-dimensional spectral analysis of cortical receptive field profiles. Vision Res. 1980;20(10):847–856. [Abstract] [Google Scholar]
  • DeAngelis GC, Ohzawa I, Freeman RD. Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. I. General characteristics and postnatal development. J Neurophysiol. 1993 Apr;69(4):1091–1117. [Abstract] [Google Scholar]
  • De Valois RL, Yund EW, Hepler N. The orientation and direction selectivity of cells in macaque visual cortex. Vision Res. 1982;22(5):531–544. [Abstract] [Google Scholar]
  • De Valois RL, Albrecht DG, Thorell LG. Spatial frequency selectivity of cells in macaque visual cortex. Vision Res. 1982;22(5):545–559. [Abstract] [Google Scholar]
  • Field DJ, Tolhurst DJ. The structure and symmetry of simple-cell receptive-field profiles in the cat's visual cortex. Proc R Soc Lond B Biol Sci. 1986 Sep 22;228(1253):379–400. [Abstract] [Google Scholar]
  • Field DJ. Relations between the statistics of natural images and the response properties of cortical cells. J Opt Soc Am A. 1987 Dec;4(12):2379–2394. [Abstract] [Google Scholar]
  • van Hateren JH. Real and optimal neural images in early vision. Nature. 1992 Nov 5;360(6399):68–70. [Abstract] [Google Scholar]
  • van Hateren JH. Processing of natural time series of intensities by the visual system of the blowfly. Vision Res. 1997 Dec;37(23):3407–3416. [Abstract] [Google Scholar]
  • Heeger DJ. Normalization of cell responses in cat striate cortex. Vis Neurosci. 1992 Aug;9(2):181–197. [Abstract] [Google Scholar]
  • Hubel DH, Wiesel TN. Receptive fields and functional architecture of monkey striate cortex. J Physiol. 1968 Mar;195(1):215–243. [Abstract] [Google Scholar]
  • Koenderink JJ. The structure of images. Biol Cybern. 1984;50(5):363–370. [Abstract] [Google Scholar]
  • Laughlin S. A simple coding procedure enhances a neuron's information capacity. Z Naturforsch C. 1981 Sep-Oct;36(9-10):910–912. [Abstract] [Google Scholar]
  • Marcelja S. Mathematical description of the responses of simple cortical cells. J Opt Soc Am. 1980 Nov;70(11):1297–1300. [Abstract] [Google Scholar]
  • Olshausen BA, Field DJ. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature. 1996 Jun 13;381(6583):607–609. [Abstract] [Google Scholar]
  • Olshausen BA, Field DJ. Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision Res. 1997 Dec;37(23):3311–3325. [Abstract] [Google Scholar]
  • Parker AJ, Hawken MJ. Two-dimensional spatial structure of receptive fields in monkey striate cortex. J Opt Soc Am A. 1988 Apr;5(4):598–605. [Abstract] [Google Scholar]
  • Ruderman DL, Bialek W. Statistics of natural images: Scaling in the woods. Phys Rev Lett. 1994 Aug 8;73(6):814–817. [Abstract] [Google Scholar]
  • Sclar G, Lennie P, DePriest DD. Contrast adaptation in striate cortex of macaque. Vision Res. 1989;29(7):747–755. [Abstract] [Google Scholar]
  • Srinivasan MV, Laughlin SB, Dubs A. Predictive coding: a fresh view of inhibition in the retina. Proc R Soc Lond B Biol Sci. 1982 Nov 22;216(1205):427–459. [Abstract] [Google Scholar]
  • Volgushev M, Vidyasagar TR, Pei X. A linear model fails to predict orientation selectivity of cells in the cat visual cortex. J Physiol. 1996 Nov 1;496(Pt 3):597–606. [Abstract] [Google Scholar]
  • Zipser K, Lamme VA, Schiller PH. Contextual modulation in primary visual cortex. J Neurosci. 1996 Nov 15;16(22):7376–7389. [Abstract] [Google Scholar]
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