A Functional BCI Model by the P2731 working group: Physiology

IF 1.8 Q3 ENGINEERING, BIOMEDICAL Brain-Computer Interfaces Pub Date : 2021-07-03 DOI:10.1080/2326263X.2021.1968665
Ali Hossaini, D. Valeriani, Chang S. Nam, R. Ferrante, M. Mahmud
{"title":"A Functional BCI Model by the P2731 working group: Physiology","authors":"Ali Hossaini, D. Valeriani, Chang S. Nam, R. Ferrante, M. Mahmud","doi":"10.1080/2326263X.2021.1968665","DOIUrl":null,"url":null,"abstract":"The development of Brain–Computer Interfaces (BCIs) requires specialists in various fields, including engineering, computer science, medicine and neuroscience. Each of these disciplines possesses a...","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain-Computer Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/2326263X.2021.1968665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 1

Abstract

The development of Brain–Computer Interfaces (BCIs) requires specialists in various fields, including engineering, computer science, medicine and neuroscience. Each of these disciplines possesses a...
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
P2731工作组的功能性脑机接口模型:生理学
脑机接口(bci)的发展需要各个领域的专家,包括工程、计算机科学、医学和神经科学。这些学科中的每一个都有一个……
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 去求助
来源期刊
CiteScore
4.00
自引率
9.50%
发文量
14
期刊最新文献
A combined EEG motor and speech imagery paradigm with automated successive halving for customizable command selection Toward methodologies for motor imagery enhancement: a tDCS-BCI study Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification Real-time feedback improves imagined 3D primitive object classification from EEG
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1