Using Determinant Point Process in Generative Adversarial Networks for SSVEP Signals Synthesis-Reference-Cited by-同舟云学术

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Using Determinant Point Process in Generative Adversarial Networks for SSVEP Signals Synthesis

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Wang Junkongshuai¹,Wang Lu¹,Han Jiaguan¹,Mu Wei¹,Wang Pengchao¹,Zhang Xueze¹,Zhan Gege¹,Zhang Lihua¹,Gan Zhongxue¹,Kang Xiaoyang¹

Affiliation:

1. Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI and Robotics, Academy for Engineering & Technology,Shanghai,China,200433

Funder

National Natural Science Foundation of China

Fudan University

Ji Hua Laboratory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340247.pdf?arnumber=10340247

Reference10 articles.

1. Brain Computer Interfaces, a Review

2. A High-Speed SSVEP-Based BCI Using Dry EEG Electrodes

3. Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks

4. Spinning Icons: Introducing a Novel SSVEP-BCI Paradigm Based on Rotation

5. A Survey on Generative Adversarial Networks: Variants, Applications, and Training

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