Skip to main content
Log in

Short-term memory circuit using hardware ring neural networks

  • ORIGINAL ARTICLE
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

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 is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katsutoshi Saeki.

Additional information

This work was presented, in part, at the 9th International Symposium on Artificial Life and Robotics, Oita, Japan, January 28–30, 2004

About this article

Cite this article

Sasano, N., Saeki, K. & Sekine, Y. Short-term memory circuit using hardware ring neural networks. Artif Life Robotics 9, 81–85 (2005). https://doi.org/10.1007/s10015-004-0324-6

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-004-0324-6

Key words

Navigation