HIGHLIGHTS
- who: STk et al. from the The authors are with the School of Computer Science and, Nanyang Technological University, Singapore , (e-mail: have published the research work: LGGNet: Learning From Local-Global-Graph Representations for Brainu2013Computer Interface, in the Journal: (JOURNAL)
- what: To learn the brain activities within and among different functional areas of the brain the authors propose local-global-graph network (LGGNet) a novel neurologically inspired graph neural network (GNN) to learn local-globalgraph (LGG) representations of electroencephalography (EEG) for brain-computer interface (BCI). The authors propose general, frontal, and hemisphere LGG definitions . . .
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