神经突触加权忆阻电桥电路

2012 13th International Workshop on Cellular Nanoscale Networks and their Applications Pub Date : 2012-10-18 DOI:10.1109/CNNA.2012.6331434

M. P. Sah, Changju Yang, Hyongsuk Kim, T. Roska, L. Chua

{"title":"神经突触加权忆阻电桥电路","authors":"M. P. Sah, Changju Yang, Hyongsuk Kim, T. Roska, L. Chua","doi":"10.1109/CNNA.2012.6331434","DOIUrl":null,"url":null,"abstract":"A simple and compact memristor-based bridge circuit which is able to perform signed synaptic weighting in neuron cells is proposed. The proposed memristor-based synapse is composed of four memristors which makes a bridge type configuration. By programming different values on each memristor of the memristor bridge circuit, weighting values can be set on the memristor bridge synapses. Various simulation results are included.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Memristor bridge circuit for neural synaptic weighting\",\"authors\":\"M. P. Sah, Changju Yang, Hyongsuk Kim, T. Roska, L. Chua\",\"doi\":\"10.1109/CNNA.2012.6331434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A simple and compact memristor-based bridge circuit which is able to perform signed synaptic weighting in neuron cells is proposed. The proposed memristor-based synapse is composed of four memristors which makes a bridge type configuration. By programming different values on each memristor of the memristor bridge circuit, weighting values can be set on the memristor bridge synapses. Various simulation results are included.\",\"PeriodicalId\":387536,\"journal\":{\"name\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2012.6331434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2012.6331434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

提出了一种简单、紧凑的基于忆阻器的桥电路，该电路能够在神经元细胞中执行符号突触加权。所提出的基于忆阻器的突触由四个忆阻器组成，形成桥式结构。通过在忆阻电桥电路的每个忆阻器上编程不同的值，可以在忆阻电桥突触上设置权重值。包括各种仿真结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Memristor bridge circuit for neural synaptic weighting

A simple and compact memristor-based bridge circuit which is able to perform signed synaptic weighting in neuron cells is proposed. The proposed memristor-based synapse is composed of four memristors which makes a bridge type configuration. By programming different values on each memristor of the memristor bridge circuit, weighting values can be set on the memristor bridge synapses. Various simulation results are included.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 13th International Workshop on Cellular Nanoscale Networks and their Applications

自引率

0.00%

发文量