Short-term memory circuit using hardware ring neural networks |
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Authors: | Naoya Sasano Katsutoshi Saeki Yoshifumi Sekine |
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Affiliation: | (1) Graduate School of Science and Technology, Nihon University, Tokyo, Japan;(2) College of Science and Technology, Nihon University, 7-24-1, Narashinodai, Funabashi, Chiba 274-8501, Japan |
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Abstract: | A number of studies have recently been made on various neuron models and neural networks. This research is studied for applications to engineering problems and an understanding of the information processing functions of living organisms. We are studying an asynchronous neural network using a pulse-type hardware neuron model (P-HNM). Recently, we have been trying to construct a short-term memory circuit using hardware ring neural networks (RNN) with P-HNM. In this article, we discuss the construction of a short-term memory circuit using the hardware RNN, and conduct experiments that explain the characteristics of the network through circuit simulation using PSpice. As a result, we verify that the RNN which is proposed in this article can be used as the short-term memory circuit.This work was presented, in part, at the 9th International Symposium on Artificial Life and Robotics, Oita, Japan, January 28–30, 2004 |
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Keywords: | Pulse-type hardware neuron model Ring neural network Short-term memory circuit |
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