Home /Research /3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification

LEARNING

3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification

Xiuling Liu, Kaidong Wang, Fengshuang Liu, Wei Zhao, Jing Liu

Year: 2022
Citations: 14

Keywords

Computer scienceArtificial intelligenceElectroencephalographyRobustness (evolution)Pattern recognition (psychology)Convolutional neural networkMotor imageryFeature extractionBrain–computer interfaceConvolution (computer science)

3D Convolution neural network with multiscale spatial and temporal cues for motor imagery EEG classification

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Applied Nonlinear Control

A new optimizer using particle swarm theory