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Improved Willshaw Networks with Local Inhibition

Authors:
Philippe Tigreat
Vincent Gripon
Pierre-Henri Horrein

Keywords: Willshaw Networks; Clique-Based Neural Networks; Lateral Inhibition.

Abstract:
Willshaw networks are a type of associative memories with a storing mechanism characterized by a strong redundancy. Namely, all the subparts of a message get connected to one another. We introduce an additional specificity, by imposing the constraint of a minimal space separating every two elements of a message. This approach results from biological observations, knowing that in some brain regions, a neuron receiving a stronger stimulation can inhibit its neighbors within a given radius. We experiment with different values of the inhibition radius introduced, and we study its impact on the error rate in the retrieval of stored messages. We show that this added constraint can result in significatively better performance of the Willshaw network.

Pages: 96 to 101

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-462-6

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016