Motor Imagery Decoding in the Presence of Distraction Using Graph Sequence Neural Networks-Reference-Cited by-同舟云学术

Motor Imagery Decoding in the Presence of Distraction Using Graph Sequence Neural Networks

Published:2022 Issue: Volume:30 Page:1716-1726
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Cai Shengyuan¹^ORCID,Li Haoran¹,Wu Qiang¹^ORCID,Liu Ju¹^ORCID,Zhang Yu²

Affiliation:

1. School of Information Science and Engineering, Shandong University, Qindao, China

2. Department of Bioengineering, Lehigh University, Bethlehem, PA, USA

Funder

National Key Research and Development Program

Shandong Province Key Innovation Project

Natural Science Foundation of Shandong Province

Clinical Research Center of Shandong University

National Training Programs of Innovation and Entrepreneurship

Lehigh’s Accelerator, FIG, and CORE Grants

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference47 articles.

3. A kernel two-sample test bernhard schölkopf;gretton;J Mach Learn Res,2012

5. Revisiting graph neural networks: All we have is low-pass filters;nt;arXiv 1905 09550,2019

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