A sub-threshold halo implanted MOS implementation of Izhikevich neuron model

Odilon O. Dutra, Gustavo D. Colleta, L. H. C. Ferreira, T. Pimenta
{"title":"A sub-threshold halo implanted MOS implementation of Izhikevich neuron model","authors":"Odilon O. Dutra, Gustavo D. Colleta, L. H. C. Ferreira, T. Pimenta","doi":"10.1109/S3S.2013.6716556","DOIUrl":null,"url":null,"abstract":"This work describes a current mode implementation of Izhikevich neuron model implemented with halo implanted devices 130 nm structured within matrices of order m × n capable of substantially increasing output impedance of such devices while also improving mismatch. The proposed neuron was successfully simulated in 130 nm IBM CMOS process as the dynamical translinear circuit topology adopted generates the 20 patterns defined in Izhikevich model as other similar works while improving several aspects as the low supplied voltage used 250 mV.","PeriodicalId":219932,"journal":{"name":"2013 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/S3S.2013.6716556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This work describes a current mode implementation of Izhikevich neuron model implemented with halo implanted devices 130 nm structured within matrices of order m × n capable of substantially increasing output impedance of such devices while also improving mismatch. The proposed neuron was successfully simulated in 130 nm IBM CMOS process as the dynamical translinear circuit topology adopted generates the 20 patterns defined in Izhikevich model as other similar works while improving several aspects as the low supplied voltage used 250 mV.
亚阈值晕植入MOS实现Izhikevich神经元模型
这项工作描述了一种Izhikevich神经元模型的当前模式实现,该模型采用了在m × n阶矩阵内结构的130 nm的晕植入器件,能够大大增加此类器件的输出阻抗,同时也改善了失配。所提出的神经元在130 nm IBM CMOS工艺中成功仿真,所采用的动态跨线性电路拓扑产生了Izhikevich模型中定义的20种模式,并在250 mV的低电源电压下改进了几个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信