A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43907-0_40
Reference17 articles.
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2. Zhang, X., Yao, L.N, Wang, X.Z., et al.: A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers. J. Neur. Eng. 18(3), 031002 (2021)
3. Valizadeh, S.A., Riener, R., Elmer, S., et al.: Decrypting the electrophysiological individuality of the human brain: identification of individuals based on resting-state EEG activity. NeuroImage 197, 470–481 (2019)
4. Li, D.D., Xie, L., Chai, B., Wang, Z., Yang, H.: Spatial-frequency convolutional self-attention network for EEG emotion recognition. Appl. Soft Comput. 122, 108740 (2022)
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