{"title":"一种量化混沌尖峰神经元与CDMA编码","authors":"R. Furumachi, H. Torikai, T. Saito","doi":"10.1109/ICONIP.2002.1198119","DOIUrl":null,"url":null,"abstract":"Applying a higher frequency input to a chaotic spiking neuron, the state is quantized and the chaotic pulse-train is changed into various co-existing super-stable periodic pulse-trains (SSPTs). Using a quantized pulse-position map, the number of the SSPTs and their periods are clarified theoretically. Multiplex correlation characteristics for some set of the SSPTs is also clarified for application to CDMA communication systems.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A quantized chaotic spiking neuron and CDMA coding\",\"authors\":\"R. Furumachi, H. Torikai, T. Saito\",\"doi\":\"10.1109/ICONIP.2002.1198119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Applying a higher frequency input to a chaotic spiking neuron, the state is quantized and the chaotic pulse-train is changed into various co-existing super-stable periodic pulse-trains (SSPTs). Using a quantized pulse-position map, the number of the SSPTs and their periods are clarified theoretically. Multiplex correlation characteristics for some set of the SSPTs is also clarified for application to CDMA communication systems.\",\"PeriodicalId\":146553,\"journal\":{\"name\":\"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONIP.2002.1198119\",\"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 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.2002.1198119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A quantized chaotic spiking neuron and CDMA coding
Applying a higher frequency input to a chaotic spiking neuron, the state is quantized and the chaotic pulse-train is changed into various co-existing super-stable periodic pulse-trains (SSPTs). Using a quantized pulse-position map, the number of the SSPTs and their periods are clarified theoretically. Multiplex correlation characteristics for some set of the SSPTs is also clarified for application to CDMA communication systems.