Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency

• Main Authors: Donghyun Park (Author), Hoonseok Park (Author), Sangyeon Kim (Author), Sanghyun Choo (Author), Sangwon Lee (Author), Chang S. Nam (Author), Jae-Yoon Jung (Author)
• Format: Book
• Published: IEEE, 2023-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Recently, convolutional neural network (CNN)-based classification models have shown good performance for motor imagery (MI) brain-computer interfaces (BCI) using electroencephalogram (EEG) in end-to-end learning. Although a few explainable artificial intelligence (XAI) techniques have been developed...