Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance-Reference-Cited by-同舟云学术

Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Tsai Bo-Yu¹^ORCID,Diddi Sandeep Vara Sankar²^ORCID,Ko Li-Wei³^ORCID,Wang Shuu-Jiun⁴^ORCID,Chang Chi-Yuan⁵^ORCID,Jung Tzyy-Ping⁵^ORCID

Affiliation:

1. Institute of Biomedical Engineering and the Brain Research Center, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. International Ph.D. Program in Interdisciplinary Neuroscience and the Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. International Ph.D. Program in Interdisciplinary Neuroscience, and the Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B), College of Biological Science and Technology, Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

4. Taipei Veterans General Hospital, Taipei, Taiwan

5. Swartz Center for Computational Neuroscience, University of California, San Diego, San Diego, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09798880.pdf?arnumber=9798880

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