{"title":"一种利用动态突触进行特征检测的架构","authors":"A. Heittmann, U. Ramacher","doi":"10.1109/MWSCAS.2004.1354171","DOIUrl":null,"url":null,"abstract":"An architecture for feature detection based on artificial pulsed neural networks is presented. By utilizing substancial principles like correlation of pulses using dynamic synapses as well as distribution of connections defined by connection densities, arbitrary detectors up to a complexity of simple cells can be implemented.","PeriodicalId":185817,"journal":{"name":"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An architecture for feature detection utilizing dynamic synapses\",\"authors\":\"A. Heittmann, U. Ramacher\",\"doi\":\"10.1109/MWSCAS.2004.1354171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An architecture for feature detection based on artificial pulsed neural networks is presented. By utilizing substancial principles like correlation of pulses using dynamic synapses as well as distribution of connections defined by connection densities, arbitrary detectors up to a complexity of simple cells can be implemented.\",\"PeriodicalId\":185817,\"journal\":{\"name\":\"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.2004.1354171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2004.1354171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An architecture for feature detection utilizing dynamic synapses
An architecture for feature detection based on artificial pulsed neural networks is presented. By utilizing substancial principles like correlation of pulses using dynamic synapses as well as distribution of connections defined by connection densities, arbitrary detectors up to a complexity of simple cells can be implemented.