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Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification
Furthermore, we classified EEG with the subject-independent manner to learn robust and generalized EEG features by avoiding subject dependency.
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation
In the classification model, CNN is responsible for spatial feature extraction and GRU is responsible for temporal feature extraction.
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks
Recently, visual perception (VP) and visual imagery (VI) paradigms are investigated in several brain-computer interface (BCI) studies.
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