{"title":"用于完全模拟可编程VLSI细胞神经网络的通用CMOS构建块","authors":"A. Piovaccari, G. Setti","doi":"10.1109/CNNA.1994.381654","DOIUrl":null,"url":null,"abstract":"The design of a new CMOS building block to be used for analogically programming the control and the feedback operators of cellular neural networks is reported. The circuit was used for a repetitive programming procedure for motion detection in a 9000 transistors 7/spl times/7 CNN.<<ETX>>","PeriodicalId":248898,"journal":{"name":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A versatile CMOS building block for fully analogically-programmable VLSI cellular neural networks\",\"authors\":\"A. Piovaccari, G. Setti\",\"doi\":\"10.1109/CNNA.1994.381654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of a new CMOS building block to be used for analogically programming the control and the feedback operators of cellular neural networks is reported. The circuit was used for a repetitive programming procedure for motion detection in a 9000 transistors 7/spl times/7 CNN.<<ETX>>\",\"PeriodicalId\":248898,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1994.381654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1994.381654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A versatile CMOS building block for fully analogically-programmable VLSI cellular neural networks
The design of a new CMOS building block to be used for analogically programming the control and the feedback operators of cellular neural networks is reported. The circuit was used for a repetitive programming procedure for motion detection in a 9000 transistors 7/spl times/7 CNN.<>