{"title":"基本哺乳动物视网膜对原型复杂细胞CNN通用机的影响","authors":"D. Bálya, C. Rekeczky, T. Roska","doi":"10.1109/CNNA.2002.1035028","DOIUrl":null,"url":null,"abstract":"Some parallel channels of the mammalian retina are illustrated schematically. The different decomposition possibilities are indicated by the cyan blocks. The different neuron types in the retina are organized into two-dimensional stmta modeled with CNN layers, which are represented by the spheres. A neuron in a given layer effects another neuron in another layer through synapses while the arrows represent the connections. The layers have different time and space constants and the synapses produce non-linear transfer functions.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Basic mammalian retinal effects on the prototype complex cell CNN universal machine\",\"authors\":\"D. Bálya, C. Rekeczky, T. Roska\",\"doi\":\"10.1109/CNNA.2002.1035028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some parallel channels of the mammalian retina are illustrated schematically. The different decomposition possibilities are indicated by the cyan blocks. The different neuron types in the retina are organized into two-dimensional stmta modeled with CNN layers, which are represented by the spheres. A neuron in a given layer effects another neuron in another layer through synapses while the arrows represent the connections. The layers have different time and space constants and the synapses produce non-linear transfer functions.\",\"PeriodicalId\":387716,\"journal\":{\"name\":\"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2002.1035028\",\"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 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2002.1035028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Basic mammalian retinal effects on the prototype complex cell CNN universal machine
Some parallel channels of the mammalian retina are illustrated schematically. The different decomposition possibilities are indicated by the cyan blocks. The different neuron types in the retina are organized into two-dimensional stmta modeled with CNN layers, which are represented by the spheres. A neuron in a given layer effects another neuron in another layer through synapses while the arrows represent the connections. The layers have different time and space constants and the synapses produce non-linear transfer functions.