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20202026
most citedGCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

180 citations · 214 across the 6 of their papers we have counts for

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eess.SP2020★ 180 cited

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

Yimin Hou, Shuyue Jia, Xiangmin Lun +5

Towards developing effective and efficient brain-computer interface (BCI) systems, precise decoding of brain activity measured by electroencephalogram (EEG), is highly demanded. Tr…

eess.SP2020★ 32 cited

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

Yimin Hou, Shuyue Jia, Xiangmin Lun +4

Recognition accuracy and response time are both critically essential ahead of building practical electroencephalography (EEG) based brain-computer interface (BCI). Recent approache…