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

• Main Authors: Ding, Yi, Robinson, Neethu, Tong, Chengxuan, Zeng, Qiuhao, Guan, Cuntai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Deep Learning; Electroencephalography
• Online Access: https://hdl.handle.net/10356/170587
• Institution: Nanyang Technological University

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...