Deep learning with convolutional neural networks for EEG decoding and visualization

Short summary

Deep convolutional neural networks (deep ConvNets) can decode imagined or executed tasks from raw EEG with performance matching or exceeding established methods like FBCSP. Novel visualization techniques reveal that these networks learn to utilize specific frequency bands and map their spatial contributions.

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