@inproceedings{17ee8dac043d48c5a1906b1f61fc57e9,
title = "Optimal Sampling of Natural Images: A Design Principle for the Visual System?",
abstract = "We formulate the problem of optimizing the sampling of natural images using an array of linear filters. Optimization of information capacity is constrained by the noise levels of the individual channels and by a penalty for the construction of long-range interconnections in the array. At low signal-to-noise ratios the optimal filter characteristics correspond to bound states of a Schrodinger equation in which the signal spectrum plays the role of the potential. The resulting optimal filters are remarkably similar to those observed in the mammalian visual cortex and the retinal ganglion cells of lower vertebrates. The observed scale invariance of natural images plays an essential role in this construction.",
author = "William Bialek and Ruderman, \{Daniel L.\} and A. Zee",
note = "Publisher Copyright: {\textcopyright} 1990 Neural information processing systems foundation. All rights reserved.; 3rd Advances in Neural Information Processing Systems, NIPS 1990 ; Conference date: 26-11-1990 Through 29-11-1990",
year = "1990",
doi = "10.5555/118850.118899",
language = "English (US)",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural information processing systems foundation",
pages = "363--369",
editor = "Richard Lippmann and Moody, \{John E.\} and Touretzky, \{David S.\}",
booktitle = "Advances in Neural Information Processing Systems 3, NIPS 1990",
}