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FastICA

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    EEGNet study reveals challenges in fNIRS-driven cognitive load classification

    A new study published on arXiv evaluates the effectiveness of EEGNet for classifying cognitive load using fNIRS signals. The research systematically examined various parameters, including temporal segmentation, window l…