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A Note on Time Delayed Effect in a Recurrent Neural Network Model

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Abstract

A time delayed effect in a recurrent neural network model was investigated, where the model is constructed on the binary states of each neuron and on the discrete time development. The time delay is assumed to be of integer multiple numbers in the unit of updating the time step. The model not only has a function of conventional associative memory, but also enables us to embed a new kind of multiple attractor which cannot be realised in the model without a time delayed effect.

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Authors and Affiliations

  1. Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan

    Y. Suemitsu

  2. Department of Electrical & Electronic Engineering, Faculty of Engineering, Okayama University, Tsushima-naka 3-1-1, 700–8530, Okayama, Japan.

    S. Nara

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  1. Y. Suemitsu
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  2. S. Nara
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Correspondence to S. Nara.

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Suemitsu, Y., Nara, S. A Note on Time Delayed Effect in a Recurrent Neural Network Model . Neur. Comp. App. 11, 137–143 (2003). https://doi.org/10.1007/s00521-003-0349-0

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  • DOI: https://doi.org/10.1007/s00521-003-0349-0

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