Achieve image classes reconstruction based on EEG signal

[stefanches7]

Data from the study by Rashkov G. et al. (2019) is accessible at https://data.mendeley.com/datasets/s2dxrv45fr/1. In it, EEG signals are annotated with information about the one of the classes of visual stimulus shown to the participant (animal movement, abstract figures etc. - refer to study for more details).
The first and most simple goal is to predict seen image class based on EEG signal during the viewing.

TODO:

• Extract sequences, assign session and seen image class
• Signal aggregation - e.g. Discrete Wavelet Transformation
• Deep Learning model
  Currently MLP, but can try other e.g. Deep Belief Networks
• Test/train split
• Prediction - does not finish on laptop, have to scale
• Evaluation of results