References

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Following are references either used in this documentation or include suplementary materials for this documentation and could aid in having broader understanding of different topics:

[1]: bmseed: electrode types
[2]: Rami Khushaba: PCA vs LDA
[3]: Valerio Velardo: Autoencoders Explained Easily
[4]: Interacoustics: P300 Evoked Potential: An Introduction Part 1 and Part 2
[5]: Wikipedia: 10-20 system (EEG)
[6]: Stanford University - Andrew NG: Sparse Autoencoder
[7]: CS231n Convolutional Neural Networks for Visual Recognition
[8]: DeepAI: Softmax Classifier
[9]: Stanford University: Sparse Autoencoder
[10]: Research Gate: Stimulus and operating principle of P300-speller. When the subject counts the number of flashes of the character "K", P300 is elicited by the user's response.
[11]: Wikipedia: Autoencoder
[12]: Braingizer: A Brain-Controlled Wheelchair
[13]: IEEE Middle East Conference on Biomedical Engineering: Nader N. Nashed, Seif Eldawlatly and Gamal M Aly: A deep learning approach to single-trial classification for P300 spellers
[14]: Wikipedia: Artificial Neural Network
[15]: nypost: Scientists use human neurons to grow 3-D brain tissues
[16]: zuniv: physiology book
[17]: research gate: Sample EEG dataset. Signals shows that the dataset is challenging due to different variations in the signals
[18]: Wikipedia: P300
[19]: Wikipedia: Parietal lobe
[20]: Emotiv EPOC
[21]: Brain Products: Common Average Referencing
[22]: Medium: Moving Average Filter
[23]: Wikipedia: PCA