LGGNet: learning from local-global-graph representations for brain-computer interface

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 local-global-graph network (LGGNet), a novel neurologically...

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書目詳細資料
Main Authors:	Ding, Yi, Robinson, Neethu, Tong, Chengxuan, Zeng, Qiuhao, Guan, Cuntai
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Deep Learning Electroencephalography
在線閱讀:	https://hdl.handle.net/10356/170587
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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