Design of Analog Artificial Neurons Circuit Based on Memristor

ZHU Ren-jie; ZHANG Tao; KE Zhi-qiang

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Design of Analog Artificial Neurons Circuit Based on Memristor

更新时间：2026-09-04

- Design of Analog Artificial Neurons Circuit Based on Memristor
- Vol. 31, Issue 8, Pages: 171-176(2014)
- 作者机构：
  
  武汉科技大学机构信息科学与工程学院,湖北,武汉,430081
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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朱任杰, 张涛, 柯志强. 基于忆阻器的模拟人工神经元电路设计[J]. 微电子学与计算机, 2014, 31(8): 171-176.

ZHU Ren-jie, ZHANG Tao, KE Zhi-qiang. Design of Analog Artificial Neurons Circuit Based on Memristor[J]. 2014, 31(8): 171-176.
朱任杰, 张涛, 柯志强. 基于忆阻器的模拟人工神经元电路设计[J]. 微电子学与计算机, 2014, 31(8): 171-176. DOI：

ZHU Ren-jie, ZHANG Tao, KE Zhi-qiang. Design of Analog Artificial Neurons Circuit Based on Memristor[J]. 2014, 31(8): 171-176. DOI：

摘要

为了解决传统的人工神经元电路难以连续调整和掉电存储权值的问题

使用由忆阻器构成的人工神经突触电路

设计出一种人工神经元电路.SPICE仿真实验结果证实了设计的可行性.所设计的神经元电路

在调整、存储权值方面相比于传统的人工神经元电路具有很大优势.

Abstract

In order to solve the problem of continuous adjustment and power-down memory weights in traditional artificial neural circuits

artificial neural circuits based on artificial synaptic circuits which is made of memristor is proposed in the paper.The proposed circuit is simulated by SPICE

the results show that the circuit have a great advantage in terms of adjustment and memory weights compared with traditional artificial neural circuits.

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Related Institution

School of Electrical and Information Engineering, Wuhan Institute of Technology

National Demonstration Center for Experimental Physics and Education, School of Physics and Technology, Wuhan University

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