• Corpus ID: 235489686

Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

@article{Song2021TransformerbasedSF,
  title={Transformer-based Spatial-Temporal Feature Learning for EEG Decoding},
  author={Yonghao Song and Xueyu Jia and Lie Yang and Longhan Xie},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.11170}
}
At present, people usually use some methods based on convolutional neural networks (CNNs) for Electroencephalograph (EEG) decoding. However, CNNs have limitations in perceiving global dependencies, which is not adequate for common EEG paradigms with a strong overall relationship. Regarding this issue, we propose a novel EEG decoding method that mainly relies on the attention mechanism. The EEG data is firstly preprocessed and spatially filtered. And then, we apply attention transforming on the… 

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