{"title":"基于生物启发记忆和信息处理电路的有机记忆装置","authors":"V. Erokhin","doi":"10.1109/MEMRISYS.2015.7378389","DOIUrl":null,"url":null,"abstract":"The paper is dedicated to the hardware realization neuromorphic networks mimicking some properties of the nervous system. In particular, we will consider memristive devices-based logic gates with memory, elementary perceptron, and deterministic and stochastic networks, where memristive devices are used as electronic analogs of biological synapses.","PeriodicalId":159041,"journal":{"name":"2015 International Conference on Memristive Systems (MEMRISYS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Organic memristive devices based circuits for bio-inspired memorizing and processing of the information\",\"authors\":\"V. Erokhin\",\"doi\":\"10.1109/MEMRISYS.2015.7378389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper is dedicated to the hardware realization neuromorphic networks mimicking some properties of the nervous system. In particular, we will consider memristive devices-based logic gates with memory, elementary perceptron, and deterministic and stochastic networks, where memristive devices are used as electronic analogs of biological synapses.\",\"PeriodicalId\":159041,\"journal\":{\"name\":\"2015 International Conference on Memristive Systems (MEMRISYS)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Memristive Systems (MEMRISYS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEMRISYS.2015.7378389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Memristive Systems (MEMRISYS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMRISYS.2015.7378389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Organic memristive devices based circuits for bio-inspired memorizing and processing of the information
The paper is dedicated to the hardware realization neuromorphic networks mimicking some properties of the nervous system. In particular, we will consider memristive devices-based logic gates with memory, elementary perceptron, and deterministic and stochastic networks, where memristive devices are used as electronic analogs of biological synapses.