most citedExploring Deep Learning Models for EEG Neural Decoding

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cs.LG2026

Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets

Laurits Dixen, Stefan Heinrich, Paolo Burelli

Classification of EEG signals using shallow Convolutional Neural Networks (CNNs) is a prevalent and successful approach across a variety of fields. Most of these models use indepen…

cs.LG2025★ 2 cited

Exploring Deep Learning Models for EEG Neural Decoding

Laurits Dixen, Stefan Heinrich, Paolo Burelli

Neural decoding is an important method in cognitive neuroscience that aims to decode brain representations from recorded neural activity using a multivariate machine learning model…