Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Jinglei Lv

Jinglei Lv

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals


Jun 16, 2020
Xiangmin Lun, Shuyue Jia, Yimin Hou, Yan Shi, Yang Li, Hanrui Yang, Shu Zhang, Jinglei Lv

Figure 1 for GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Figure 2 for GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Figure 3 for GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Figure 4 for GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

  Access Paper or Ask Questions

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition


May 02, 2020
Yimin Hou, Shuyue Jia, Shu Zhang, Xiangmin Lun, Yan Shi, Yang Li, Hanrui Yang, Rui Zeng, Jinglei Lv

Figure 1 for Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition
Figure 2 for Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition
Figure 3 for Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition
Figure 4 for Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

  Access Paper or Ask Questions