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Besides, the new features obtained by our method can be applied to various BCI decoders, without significant differences in decoding performance. A novel method is proposed as a reliable tool for efficient dimensionality reduction of neural signals. Its high performance and robustness are promising to enhance the decoding accuracy and long-term stability of online BCI systems based on large-scale neural recordings. A novel method is proposed as a reliable tool for efficient dimensionality reduction of neural signals. Its high performance
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