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Abstract: Wederive a new self-organising learning algorithm which maximises the information transferred in a network of non-linear units. The algorithm does not assume any knowledge of the input distributions, and is defined here for the zero-noise limit. Under these conditions, information maximisation has extra properties not found in the linear case (1se er 1989). The non-linearities in the transfer function are able to pick up higher-order moments of the input distributions and perform... (Update)
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BibTeX entry: (Update)
A. Bell and T. Sejnowski. An information-maximisation approach to blind separation and blind deconvolution. Neural Comp., 7:1129--1159, 1995. http://citeseer.ist.psu.edu/754019.html More
@misc{ bell95informationmaximisation,
author = "A. Bell and T. Sejnowski",
title = "An information-maximisation approach to blind separation and blind deconvolution",
text = "A. Bell and T. Sejnowski. An information-maximisation approach to blind
separation and blind deconvolution. Neural Comp., 7:1129--1159, 1995.",
year = "1995",
url = "citeseer.ist.psu.edu/754019.html" }
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