{"title":"具有记忆电阻突触的FitzHugh-Nagumo神经元网络的同步","authors":"F. Corinto, V. Lanza, A. Ascoli, M. Gilli","doi":"10.1109/ECCTD.2011.6043616","DOIUrl":null,"url":null,"abstract":"Networks made up of bio-inspired neuron oscillatory circuits with nanoscale memristors may achieve the large connectivity and highly parallel processing power of biological systems. Memristor also has potential to reproduce the behavior of a biological synapse. As in a living creature the weight of a synapse is adapted by ionic flow through it, so the conductance of a memristor is controlled by flux across or charge through it. In order to point out the role of memristor as biological synapse, we focus on a simple bio-inspired network composed of two FitzHugh-Nagumo (FHN) neurons coupled via a memristor. In particular, we investigate how the dynamics of memristor can influence the interactions among neurons and their synchronization.","PeriodicalId":126960,"journal":{"name":"2011 20th European Conference on Circuit Theory and Design (ECCTD)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Synchronization in networks of FitzHugh-Nagumo neurons with memristor synapses\",\"authors\":\"F. Corinto, V. Lanza, A. Ascoli, M. Gilli\",\"doi\":\"10.1109/ECCTD.2011.6043616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Networks made up of bio-inspired neuron oscillatory circuits with nanoscale memristors may achieve the large connectivity and highly parallel processing power of biological systems. Memristor also has potential to reproduce the behavior of a biological synapse. As in a living creature the weight of a synapse is adapted by ionic flow through it, so the conductance of a memristor is controlled by flux across or charge through it. In order to point out the role of memristor as biological synapse, we focus on a simple bio-inspired network composed of two FitzHugh-Nagumo (FHN) neurons coupled via a memristor. In particular, we investigate how the dynamics of memristor can influence the interactions among neurons and their synchronization.\",\"PeriodicalId\":126960,\"journal\":{\"name\":\"2011 20th European Conference on Circuit Theory and Design (ECCTD)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 20th European Conference on Circuit Theory and Design (ECCTD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECCTD.2011.6043616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 20th European Conference on Circuit Theory and Design (ECCTD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECCTD.2011.6043616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synchronization in networks of FitzHugh-Nagumo neurons with memristor synapses
Networks made up of bio-inspired neuron oscillatory circuits with nanoscale memristors may achieve the large connectivity and highly parallel processing power of biological systems. Memristor also has potential to reproduce the behavior of a biological synapse. As in a living creature the weight of a synapse is adapted by ionic flow through it, so the conductance of a memristor is controlled by flux across or charge through it. In order to point out the role of memristor as biological synapse, we focus on a simple bio-inspired network composed of two FitzHugh-Nagumo (FHN) neurons coupled via a memristor. In particular, we investigate how the dynamics of memristor can influence the interactions among neurons and their synchronization.
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