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Independent Component Filters Of Natural Images Compared With Simple Cells In Primary Visual Cortex (1998)
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BibTeX
@MISC{Hateren98independentcomponent,
author = {J. H. Van Hateren and A. Van Der Schaaf},
title = {Independent Component Filters Of Natural Images Compared With Simple Cells In Primary Visual Cortex},
year = {1998}
}
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Abstract
this article we investigate to what extent the statistical properties of natural images can be used to understand the variation of receptive field properties of simple cells in the mammalian primary visual cortex. The receptive fields of simple cells have been studied extensively (e.g., Hubel & Wiesel 1968, DeValois et al. 1982a, DeAngelis et al. 1993): they are localised in space and time, have band-pass characteristics in the spatial and temporal frequency domains, are oriented, and are often sensitive to the direction of motion of a stimulus. Here we will concentrate on the spatial properties of simple cells. Several hypotheses as to the function of these cells have been proposed. As the cells preferentially respond to oriented edges or lines, they can be viewed as edge or line detectors. Their joint localisation in both the spatial domain and the spatial frequency domain has led to the suggestion that they mimic Gabor filters, minimising uncertainty in both domains (Daugman 1980, Marcelja 1980). More recently, the match between the operations performed by simple cells and the wavelet transform has attracted attention (e.g., Field 1993). The approaches based on Gabor filters and wavelets basically consider processing by the visual cortex as a general image processing strategy, relatively independent of detailed assumptions about image statistics. On the other hand, the edge and line detector hypothesis is based on the intuitive notion that edges and lines are both abundant and important in images. This theme of relating simple cell properties with the statistics of natural images was explored extensively by Field (1987, 1994). He proposed that the cells are optimized specifically for coding natural images. He argued that one possibility for such a code, sparse coding...
Keyphrases
simple cell natural image primary visual cortex independent component filter natural image compared gabor filter intuitive notion general image processing strategy several hypothesis simple cell property temporal frequency domain detailed assumption image statistic spatial frequency domain statistical property receptive field property line detector hypothesis joint localisation mammalian primary visual cortex receptive field band-pass characteristic hubel wiesel line detector spatial property sparse coding spatial domain visual cortex wavelet transform
