混沌尖峰振荡器脉冲耦合网络中的分组同步

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1202194

H. Nakano, T. Saito

{"title":"混沌尖峰振荡器脉冲耦合网络中的分组同步","authors":"H. Nakano, T. Saito","doi":"10.1109/ICONIP.2002.1202194","DOIUrl":null,"url":null,"abstract":"This paper studies basic dynamics in a pulse-coupled network (PCN) of chaotic spiking oscillators. The PCN exhibits grouping phenomena characterized by partial chaos synchronous phenomena. Calculating transient times to the synchronization, we investigate performance of the PCN.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators\",\"authors\":\"H. Nakano, T. Saito\",\"doi\":\"10.1109/ICONIP.2002.1202194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies basic dynamics in a pulse-coupled network (PCN) of chaotic spiking oscillators. The PCN exhibits grouping phenomena characterized by partial chaos synchronous phenomena. Calculating transient times to the synchronization, we investigate performance of the PCN.\",\"PeriodicalId\":146553,\"journal\":{\"name\":\"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"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.2002.1202194\",\"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.2002.1202194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

摘要

本文研究了混沌尖峰振荡器脉冲耦合网络的基本动力学。PCN呈现出以部分混沌同步现象为特征的分组现象。通过计算同步的瞬态时间，研究了PCN的性能。

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

Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators

This paper studies basic dynamics in a pulse-coupled network (PCN) of chaotic spiking oscillators. The PCN exhibits grouping phenomena characterized by partial chaos synchronous phenomena. Calculating transient times to the synchronization, we investigate performance of the PCN.

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

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

自引率

0.00%

发文量