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Neural Computation, Vol 9, 595-606, Copyright © 1997 by The MIT Press

LETTERS

The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals

Marc M. Van Hulle

This article introduces an extremely simple and local learning rule for topographic mapformation. The rule, called the maximumentropy learning rule (MER), maximizes the unconditional entropy of the map's output for any type of input distribution. The aim of this article is to show that MER is a viable strategy for building topographic maps that maximize the average mutual information of the output responses to noiseless input signals when only input noise and noise-added input signals are available.


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E. Thomas, M. M. Van Hulle, and R. Vogels
Encoding of Categories by Noncategory-Specific Neurons in the Inferior Temporal Cortex
J. Cogn. Neurosci., March 1, 2001; 13(2): 190 - 200.
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Copyright © 1997 by The MIT Press.