EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces

Published:2020-12 Issue:12 Volume:28 Page:2773-2782
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Santamaria-Vazquez Eduardo^ORCID,Martinez-Cagigal Victor^ORCID,Vaquerizo-Villar Fernando^ORCID,Hornero Roberto^ORCID

Funder

Consejera de Educacin Junta de Castilla y Len

Ministerio de Ciencia Innovacin y Universidades

Ministerio de Educacin Cultura y Deporte

Centro de Investigacin Biomdica en Red en Bioingeniera Biomateriales y Nanomedicina

European Regional Development Fund

Universidad de Valladolid

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9340019/09311146.pdf?arnumber=9311146

Cited by 76 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inter-participant transfer learning with attention based domain adversarial training for P300 detection;Neural Networks;2024-12

2. A novel hybrid decoding neural network for EEG signal representation;Pattern Recognition;2024-11

3. SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals;Computers in Biology and Medicine;2024-11

4. fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification;Engineering Applications of Artificial Intelligence;2024-11

5. STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding;Neural Networks;2024-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3