A Post-Recurrent Module added to RNNs yields 9% better P300 classification while identifying key spatio-temporal EEG patterns that match established neuroscience descriptions of the P300 wave.
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space
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Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces
A Post-Recurrent Module added to RNNs yields 9% better P300 classification while identifying key spatio-temporal EEG patterns that match established neuroscience descriptions of the P300 wave.