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

Yi Ding; Cuntai Guan; Qiuhao Zeng; Neethu Robinson

doi:10.48550/arxiv.2105.02786

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

Yi Ding(Nanyang Technological University), Cuntai Guan(Nanyang Technological University), Qiuhao Zeng(Nanyang Technological University), Neethu Robinson(Nanyang Technological University)

arXiv (Cornell University)

May 5, 2021

10.48550/arxiv.2105.02786

Cited by 10

|IEEE Transactions on Neural Networks and Learning Systems|2020|2.1k

Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

|Unknown|2008|1.4k

Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b

|Frontiers in Neuroscience|2012|1.2k

An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

|IEEE Transactions on Neural Systems and Rehabilitation Engineering|2021|632

Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain–computer interface

|NeuroImage|2006|587

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

Related Papers