{"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}
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.