{"title":"具有小世界拓扑的神经网络的自组织临界性","authors":"Illarion Ushakov, M. Mishchenko, V. Matrosov","doi":"10.1109/DCNA56428.2022.9923224","DOIUrl":null,"url":null,"abstract":"The phenomenon of self-organized criticality in a neural network with the “Small-world” topology has been studied. We studied the critical value of coupling strength as a function of the total number of connections in the network. The dependence of critical coupling strength on the number of connections obeys the power law.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-organized criticality in a neural network with the small-world topology\",\"authors\":\"Illarion Ushakov, M. Mishchenko, V. Matrosov\",\"doi\":\"10.1109/DCNA56428.2022.9923224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The phenomenon of self-organized criticality in a neural network with the “Small-world” topology has been studied. We studied the critical value of coupling strength as a function of the total number of connections in the network. The dependence of critical coupling strength on the number of connections obeys the power law.\",\"PeriodicalId\":110836,\"journal\":{\"name\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCNA56428.2022.9923224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCNA56428.2022.9923224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-organized criticality in a neural network with the small-world topology
The phenomenon of self-organized criticality in a neural network with the “Small-world” topology has been studied. We studied the critical value of coupling strength as a function of the total number of connections in the network. The dependence of critical coupling strength on the number of connections obeys the power law.