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288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

February 15, 1998, Vol. 10, No. 2, Pages 277-280
(doi: 10.1162/089976698300017755)
© 1998 Massachusetts Institute of Technology
Adding Lateral Inhibition to a Simple Feedforward Network Enables It to Perform Exclusive-Or
Article PDF (40.13 KB)
Leslie S. Smith
Centre for Cognitive and Computational Neuroscience, Department of Computing Science, University of Stirling, Stirling FK9 4LA, Scotland
Abstract

A simple laterally inhibited recurrent network that implementse xclusive-or is demonstrated. The network consists of two mutually inhibitory units with logistic output function, each receiving one external input and each connected to a simple threshold output unit. The mutually inhibitory units settle into a point attractor. We investigate the range of steepness of the logistic and the range of inhibitory weights for which the network can perform exclusive-or.