The implementation of EEG-ITNet and other comparison deep models investigated in "EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification". The original paper can be found on IEEE Xplore. If you find this work useful in your research, please cite:

A. Salami, J. Andreu-Perez and H. Gillmeister, "EEG-ITNet: An Explainable Inception Temporal Convolutional Network for motor imagery classification," in IEEE Access, doi: 10.1109/ACCESS.2022.3161489.

Code is provided as it is. Datases can be downloaded from their corresponding repositories. If you would like to use your own dataset, remember to reshape the data for each subject to the format of trial×channel×sample and modify the code accordingly.

Abbas Salami - University of Essex (C) ALL RIGHTS RESERVED - ATTRIBUTION IS REQUIRED. NON-COMMERCIAL USE, NO DERIVATIVES, NO REDISTRIBUTION WITHOUT EXPLICIT CONSENT OF THEIR AUTHOR ([email protected])

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