2D spatiotemporal convolutions reduce training time on high-dimensional EEG data while maintaining performance and creating distinct representational geometries compared with concatenated 1D convolutions.
Electroencephalog- raphy Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
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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.