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  BCI Intent Data Study and Testing (conceptual early design)
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- Training machine learning models for neural signal decoding without needing large real neural datasets, addressing data scarcity and privacy issues.
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  Augmenting real-world BCI data with synthetic samples to improve model robustness and diversity, as in GAN-based approaches.
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  BCI Intent Data Study and Testing (conceptual early design)
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+ Training machine learning models for neural signal decoding without needing large real hardware BCI datasets, addressing data scarcity and privacy issues around BCI intent studies.
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  Augmenting real-world BCI data with synthetic samples to improve model robustness and diversity, as in GAN-based approaches.
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