半导体激光器光网络中的全光神经形态计算

D. Brunner, S. Reitzenstein, Ingo Fischer
{"title":"半导体激光器光网络中的全光神经形态计算","authors":"D. Brunner, S. Reitzenstein, Ingo Fischer","doi":"10.1109/ICRC.2016.7738705","DOIUrl":null,"url":null,"abstract":"Networks of interconnected nodes are at the heart of every neural network concept. While neural networks have been implemented in various hardware systems, the efficient realization of such networks still represents a major challenge. We demonstrate the implementation of an all-optical network scheme based on holographic coupling and induce complex spatio-temporal transients with Gigahertz bandwidth. Our scheme illustrates the potential of such all-optical systems for future neural network implementations.","PeriodicalId":387008,"journal":{"name":"2016 IEEE International Conference on Rebooting Computing (ICRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"All-optical neuromorphic computing in optical networks of semiconductor lasers\",\"authors\":\"D. Brunner, S. Reitzenstein, Ingo Fischer\",\"doi\":\"10.1109/ICRC.2016.7738705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Networks of interconnected nodes are at the heart of every neural network concept. While neural networks have been implemented in various hardware systems, the efficient realization of such networks still represents a major challenge. We demonstrate the implementation of an all-optical network scheme based on holographic coupling and induce complex spatio-temporal transients with Gigahertz bandwidth. Our scheme illustrates the potential of such all-optical systems for future neural network implementations.\",\"PeriodicalId\":387008,\"journal\":{\"name\":\"2016 IEEE International Conference on Rebooting Computing (ICRC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Rebooting Computing (ICRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRC.2016.7738705\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Rebooting Computing (ICRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRC.2016.7738705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

相互连接的节点网络是每个神经网络概念的核心。虽然神经网络已经在各种硬件系统中实现,但有效实现神经网络仍然是一个重大挑战。我们演示了一种基于全息耦合的全光网络方案的实现,并诱导了千兆赫带宽的复杂时空瞬态。我们的方案说明了这种全光系统在未来神经网络实现中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
All-optical neuromorphic computing in optical networks of semiconductor lasers
Networks of interconnected nodes are at the heart of every neural network concept. While neural networks have been implemented in various hardware systems, the efficient realization of such networks still represents a major challenge. We demonstrate the implementation of an all-optical network scheme based on holographic coupling and induce complex spatio-temporal transients with Gigahertz bandwidth. Our scheme illustrates the potential of such all-optical systems for future neural network implementations.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信