{"title":"基于记忆的振荡联想记忆和动态记忆","authors":"F. Corinto, A. Ascoli, M. Gilli","doi":"10.1109/CNNA.2010.5430321","DOIUrl":null,"url":null,"abstract":"The aim of the work is to develop theoretical methodologies and numerical techniques for the analysis and design of systems composed of memristive oscillators. In particular, we focus on networks made up of nonlinear oscillators with or without memristors interacting through resistive and/or memristive 'synapses'. Such methodologies will play a fundamental role in the realization of Neuromorphic Memristive Oscillatory Networks for pattern recognition tasks.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Memristive based oscillatory associative and dynamic memories\",\"authors\":\"F. Corinto, A. Ascoli, M. Gilli\",\"doi\":\"10.1109/CNNA.2010.5430321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the work is to develop theoretical methodologies and numerical techniques for the analysis and design of systems composed of memristive oscillators. In particular, we focus on networks made up of nonlinear oscillators with or without memristors interacting through resistive and/or memristive 'synapses'. Such methodologies will play a fundamental role in the realization of Neuromorphic Memristive Oscillatory Networks for pattern recognition tasks.\",\"PeriodicalId\":336891,\"journal\":{\"name\":\"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2010.5430321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2010.5430321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Memristive based oscillatory associative and dynamic memories
The aim of the work is to develop theoretical methodologies and numerical techniques for the analysis and design of systems composed of memristive oscillators. In particular, we focus on networks made up of nonlinear oscillators with or without memristors interacting through resistive and/or memristive 'synapses'. Such methodologies will play a fundamental role in the realization of Neuromorphic Memristive Oscillatory Networks for pattern recognition tasks.