Deep Learning EEG Technology Development and Brain Computer Interface Chips Progress-Reference-Cited by-同舟云学术

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Deep Learning EEG Technology Development and Brain Computer Interface Chips Progress

Published:2024-04-14 Issue: Volume:PP Page:413-418
ISSN:
Container-title:2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
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Author:

Li Wenjie¹,Chen Lei²,Lv Bing³,Li Xiaobo³,Wang Weijun⁴,Xu Kun¹,Ding Xilun¹

Affiliation:

1. Beihang University,School of Mechanical Engineering and Automation,Beijing,BJ,P.R.China,10086

2. China Academy of Aerospace Electronics Technology,Beijing,BJ,P.R.China,100094

3. Beijing Microelectronics Technology Institute,Beijing,BJ,P.R.China,100076

4. The 21ST Research Institute of China Electronic Technology Group Corporation,Robotics Engineering Center,Shanghai,China,200233

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625769/10625780/10626697.pdf?arnumber=10626697

Reference31 articles.

1. EEG-based brain–computer interfaces

2. The BRAIN Initiative: Building, Strengthening, and Sustaining

3. Brain Canada: One Brain One Community

4. China Brain Project: Basic Neuroscience, Brain Diseases, and Brain-Inspired Computing

5. Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies

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