This is a reimplementation of the 5-layer Convolutional Neural Network in [1] with minor modifications. Sorry for the comments written in Chinese as I don't have time to change them into English.

Note that the codes in the \minFunc are imported from Andrew Ng's Coursera Machine Learning course homework, to optimize the autoencoder. The codes in \AutoEncoder are experimental(obsolete) and unneccesary to run the classification.

Data is not included in this repo, you can download it here BCI Competition III

[1] Cecotti H, Graser A. Convolutional neural networks for P300 detection with application to brain-computer interfaces[J]. IEEE transactions on pattern analysis and machine intelligence, 2011, 33(3): 433-445. [2]