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Title: Mutual information and self-control of a fully-connected low-activity neural network
Authors: Bollé, Désiré ×
Dominguez Carreta, D. #
Issue Date: Nov-2000
Publisher: Elsevier science bv
Series Title: Physica A vol:286 issue:3-4 pages:401-416
Abstract: A self-control mechanism for the dynamics of a three-state fully connected neural network is studied through the introduction of a time-dependent threshold. The self-adapting threshold is a function of both the neural and the pattern activity in the network. The time evolution of the order parameters is obtained on the basis of a recently developed dynamical recursive scheme. In the limit of low activity the mutual information is shown to be the relevant parameter in order to determine the retrieval quality. Due to self-control an improvement of this mutual information content as well as an increase of the storage capacity and an enlargement of the basins of attraction are found. These results are compared with numerical simulations. (C) 2000 Elsevier Science B.V. All rights reserved.
ISSN: 0378-4371
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Theoretical Physics Section
× corresponding author
# (joint) last author

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