{"title":"脉冲神经形态网络的随机模型","authors":"A. Morozov, K. Abgaryan, D. Reviznikov","doi":"10.29003/m2492.mmmsec-2021/133-136","DOIUrl":null,"url":null,"abstract":"The work is devoted to the simulation of an analog neural network based on memristive elements, taking into account the stochastic dynamics of their functioning.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"40 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STOCHASTIC MODEL OF THE SPIKING NEUROMORPHIC NETWORK\",\"authors\":\"A. Morozov, K. Abgaryan, D. Reviznikov\",\"doi\":\"10.29003/m2492.mmmsec-2021/133-136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work is devoted to the simulation of an analog neural network based on memristive elements, taking into account the stochastic dynamics of their functioning.\",\"PeriodicalId\":151453,\"journal\":{\"name\":\"Mathematical modeling in materials science of electronic component\",\"volume\":\"40 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical modeling in materials science of electronic component\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29003/m2492.mmmsec-2021/133-136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical modeling in materials science of electronic component","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29003/m2492.mmmsec-2021/133-136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
STOCHASTIC MODEL OF THE SPIKING NEUROMORPHIC NETWORK
The work is devoted to the simulation of an analog neural network based on memristive elements, taking into account the stochastic dynamics of their functioning.