{"title":"视网膜植入物的神经形态算法","authors":"D. Bálya, B. Roska","doi":"10.1109/CNE.2005.1419582","DOIUrl":null,"url":null,"abstract":"The paper focuses on the input transformation for retinal implants. It describes a novel retina model, based on neurobiological measurements. Our modeling approach is neuromorphic, however the primary motivation is to derive an algorithmic skeleton from the animal retina measurements. The on-line, real-time implementation of the algorithm is given for an off-the-shelf stand-alone system, called Bi-I","PeriodicalId":113815,"journal":{"name":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Neuromorphic algorithm for retinal implants\",\"authors\":\"D. Bálya, B. Roska\",\"doi\":\"10.1109/CNE.2005.1419582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper focuses on the input transformation for retinal implants. It describes a novel retina model, based on neurobiological measurements. Our modeling approach is neuromorphic, however the primary motivation is to derive an algorithmic skeleton from the animal retina measurements. The on-line, real-time implementation of the algorithm is given for an off-the-shelf stand-alone system, called Bi-I\",\"PeriodicalId\":113815,\"journal\":{\"name\":\"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNE.2005.1419582\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNE.2005.1419582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper focuses on the input transformation for retinal implants. It describes a novel retina model, based on neurobiological measurements. Our modeling approach is neuromorphic, however the primary motivation is to derive an algorithmic skeleton from the animal retina measurements. The on-line, real-time implementation of the algorithm is given for an off-the-shelf stand-alone system, called Bi-I