{"title":"一种用于脉冲神经网络的低功耗集成火神经元电路","authors":"Jong-Beom Seo, K. Min, D. Kim, D. Kim, H. Mo","doi":"10.1109/ICEIC49074.2020.9051292","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed the current mirror based neuron circuit with the cascode structure added. Adding a cascode structure reduces the current fluctuation due to the membrane potential. And we compared two type of the neuron circuit in comparative operation, using inverters and a comparator. And we proposed the more efficient type of neuron circuit in terms of power consumption.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Low Power Integrate and Fire Neuron Circuit for Spiking Neural Network\",\"authors\":\"Jong-Beom Seo, K. Min, D. Kim, D. Kim, H. Mo\",\"doi\":\"10.1109/ICEIC49074.2020.9051292\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed the current mirror based neuron circuit with the cascode structure added. Adding a cascode structure reduces the current fluctuation due to the membrane potential. And we compared two type of the neuron circuit in comparative operation, using inverters and a comparator. And we proposed the more efficient type of neuron circuit in terms of power consumption.\",\"PeriodicalId\":271345,\"journal\":{\"name\":\"2020 International Conference on Electronics, Information, and Communication (ICEIC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Electronics, Information, and Communication (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIC49074.2020.9051292\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIC49074.2020.9051292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Low Power Integrate and Fire Neuron Circuit for Spiking Neural Network
In this paper, we proposed the current mirror based neuron circuit with the cascode structure added. Adding a cascode structure reduces the current fluctuation due to the membrane potential. And we compared two type of the neuron circuit in comparative operation, using inverters and a comparator. And we proposed the more efficient type of neuron circuit in terms of power consumption.