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

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 rati...

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Bibliographic Details
Published in:Proceedings of the Royal Society. B, Biological sciences Biological sciences, 1998-03, Vol.265 (1394), p.359-366
Main Authors: van Hateren, J. H., van der Schaaf, A.
Format: Article
Language:English
Subjects:
Algorithms
Animals
Aspect ratio
Cameras
Eidetic Imagery - physiology
Histograms
Image analysis
Image filters
Independent Component Analysis
Information Theory
Kurtosis
Macaca
Natural Images
Neurons - physiology
Signal bandwidth
Simple Cells
Visual Cortex
Visual Cortex - cytology
Visual Cortex - physiology
Visual Perception
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Summary: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.
ISSN:0962-8452
1471-2954
DOI:10.1098/rspb.1998.0303