Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43078-7_49
Reference14 articles.
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4. Gembler, F.W., Rezeika, A., Benda, M., Volosyak, I.: Five shades of grey: exploring quintary m -sequences for more user-friendly c-VEP-based BCIS. Comput. Intell. Neurosci. 2020, 1–11 (2020). https://doi.org/10.1155/2020/7985010
5. Lin, Z., Zhang, C., Wu, W., Gao, X.: Frequency recognition based on canonical correlation analysis for SSVEP-based BCIS. IEEE Trans. Biomed. Eng. 53, 2610–2614 (2006)
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