{"title":"大脑视觉皮层人工神经网络中马赛克的自组织","authors":"A. Garliauskas","doi":"10.1109/ANZIIS.2001.974087","DOIUrl":null,"url":null,"abstract":"The expressed layered structures in the cereberal and cerebellar cortices of the brain are attributed to most animals while the human and some primate neostriatum neurons are laid out as clustered higher and lower cell density mosaics. These ordered structures are probably formed by a self-organizing mechanism. which is widely discussed in the present paper. Considering theoretical principles and neuronal networks, the N-shaped current-voltage relation was included in the model and its influence on the stability and conditions of self-organization discussed. The formation of ordered structures was founded in vicinity of the equilibrium point. The concomitant computational experiment is made.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"3 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-organization of mosaics in artificial neural networks for the visual cortex of the brain\",\"authors\":\"A. Garliauskas\",\"doi\":\"10.1109/ANZIIS.2001.974087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The expressed layered structures in the cereberal and cerebellar cortices of the brain are attributed to most animals while the human and some primate neostriatum neurons are laid out as clustered higher and lower cell density mosaics. These ordered structures are probably formed by a self-organizing mechanism. which is widely discussed in the present paper. Considering theoretical principles and neuronal networks, the N-shaped current-voltage relation was included in the model and its influence on the stability and conditions of self-organization discussed. The formation of ordered structures was founded in vicinity of the equilibrium point. The concomitant computational experiment is made.\",\"PeriodicalId\":383878,\"journal\":{\"name\":\"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001\",\"volume\":\"3 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZIIS.2001.974087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZIIS.2001.974087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-organization of mosaics in artificial neural networks for the visual cortex of the brain
The expressed layered structures in the cereberal and cerebellar cortices of the brain are attributed to most animals while the human and some primate neostriatum neurons are laid out as clustered higher and lower cell density mosaics. These ordered structures are probably formed by a self-organizing mechanism. which is widely discussed in the present paper. Considering theoretical principles and neuronal networks, the N-shaped current-voltage relation was included in the model and its influence on the stability and conditions of self-organization discussed. The formation of ordered structures was founded in vicinity of the equilibrium point. The concomitant computational experiment is made.