2D spatiotemporal convolutions reduce training time on high-dimensional EEG data while maintaining performance and creating distinct representational geometries compared with concatenated 1D convolutions.
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
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Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
2D spatiotemporal convolutions reduce training time on high-dimensional EEG data while maintaining performance and creating distinct representational geometries compared with concatenated 1D convolutions.