通过神经接口和记忆突触连接大脑和人工神经元:第一步

S. Vassanelli
{"title":"通过神经接口和记忆突触连接大脑和人工神经元:第一步","authors":"S. Vassanelli","doi":"10.1109/IWASI.2017.7974206","DOIUrl":null,"url":null,"abstract":"Neural interfaces are making it possible to record and stimulate brain activity at high spatiotemporal resolution, at the level of single neurons and across neural networks. In parallel, brain-inspired nano- and microelectronic devices and circuits are being developed that emulate functional properties of biological neurons and networks. Memristors, in particular, are promising candidates to emulate synapses in terms of transmission and signal processing capability. We show first evidence that memristors can be used to compress information of signals from biological neurons as recorded by high-resolution multielectrode arrays and discuss the perspective that these devices will serve as synaptic-like bioelectronic links between biological neurons and artificial counterparts in advanced brain-chip interfaces.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wiring brain and artificial neurons through neural interfaces and memristive synapses: The first steps\",\"authors\":\"S. Vassanelli\",\"doi\":\"10.1109/IWASI.2017.7974206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neural interfaces are making it possible to record and stimulate brain activity at high spatiotemporal resolution, at the level of single neurons and across neural networks. In parallel, brain-inspired nano- and microelectronic devices and circuits are being developed that emulate functional properties of biological neurons and networks. Memristors, in particular, are promising candidates to emulate synapses in terms of transmission and signal processing capability. We show first evidence that memristors can be used to compress information of signals from biological neurons as recorded by high-resolution multielectrode arrays and discuss the perspective that these devices will serve as synaptic-like bioelectronic links between biological neurons and artificial counterparts in advanced brain-chip interfaces.\",\"PeriodicalId\":332606,\"journal\":{\"name\":\"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWASI.2017.7974206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWASI.2017.7974206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

神经接口使得记录和刺激大脑活动在高时空分辨率,在单个神经元和跨神经网络的水平上成为可能。与此同时,模仿生物神经元和网络功能特性的受大脑启发的纳米和微电子设备和电路正在开发中。特别是忆阻器,在传输和信号处理能力方面是模拟突触的有希望的候选者。我们首次展示了记忆电阻器可用于压缩高分辨率多电极阵列记录的生物神经元信号信息的证据,并讨论了这些设备将在高级脑芯片接口中作为生物神经元和人工对应物之间的突触样生物电子链接的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wiring brain and artificial neurons through neural interfaces and memristive synapses: The first steps
Neural interfaces are making it possible to record and stimulate brain activity at high spatiotemporal resolution, at the level of single neurons and across neural networks. In parallel, brain-inspired nano- and microelectronic devices and circuits are being developed that emulate functional properties of biological neurons and networks. Memristors, in particular, are promising candidates to emulate synapses in terms of transmission and signal processing capability. We show first evidence that memristors can be used to compress information of signals from biological neurons as recorded by high-resolution multielectrode arrays and discuss the perspective that these devices will serve as synaptic-like bioelectronic links between biological neurons and artificial counterparts in advanced brain-chip interfaces.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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