IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Special Section on Selected Papers from the 20th Workshop on Circuits and Systems in Karuizawa
Recalling Temporal Sequences of Patterns Using Neurons with Hysteretic Property
Johan SVEHOLMYoshihiro HAYAKAWAKoji NAKAJIMA
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2008 Volume E91.A Issue 4 Pages 943-950

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Abstract

Further development of a network based on the Inverse Function Delayed (ID) model which can recall temporal sequences of patterns, is proposed. Additional advantage is taken of the negative resistance region of the ID model and its hysteretic properties by widening the negative resistance region and letting the output of the ID neuron be almost instant. Calling this neuron limit ID neuron, a model with limit ID neurons connected pairwise with conventional neurons enlarges the storage capacity and increases it even further by using a weightmatrix that is calculated to guarantee the storage after transforming the sequence of patterns into a linear separation problem. The network's tolerance, or the model's ability to recall a sequence, starting in a pattern with initial distortion is also investigated and by choosing a suitable value for the output delay of the conventional neuron, the distortion is gradually reduced and finally vanishes.

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© 2008 The Institute of Electronics, Information and Communication Engineers
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