publication . Other literature type . Article . 1996

Emergence of simple-cell receptive field properties by learning a sparse code for natural images

David J. Field; Bruno A. Olshausen; Bruno A. Olshausen;
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  • Published: 01 Jun 1996
  • Publisher: Springer Science and Business Media LLC
Abstract
The receptive fields of simple cells in mammalian primary visual cortex can be characterized as being spatially localized, oriented and bandpass (selective to structure at different spatial scales), comparable to the basis functions of wavelet transforms. One approach to understanding such response properties of visual neurons has been to consider their relationship to the statistical structure of natural images in terms of efficient coding. Along these lines, a number of studies have attempted to train unsupervised learning algorithms on natural images in the hope of developing receptive fields with similar properties, but none has succeeded in producing a full...
Subjects
free text keywords: Simple cell, medicine.anatomical_structure, medicine, Sparse image, Unsupervised learning, Pattern recognition, Computer science, Artificial intelligence, business.industry, business, Basis function, Receptive field, Visual cortex, Efficient coding hypothesis, Wavelet transform
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