LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

Neuropsychological studies suggest that co-operative activities among different brain functional areas drive high-level cognitive processes. To learn the brain activities within and among different functional areas of the brain, we propose LGGNet, a novel neurologically inspired graph neural network...

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Hauptverfasser:	Ding, Yi, Robinson, Neethu, Tong, Chengxuan, Zeng, Qiuhao, Guan, Cuntai
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing Quantitative Biology - Neurons and Cognition
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