EEG Signal Classification
Designed various CNN, RCNN and Fourier-Transform-based neural network architectures to classify motor EEG signals from a Brain Computer Interface Competition dataset 2a. These were implemented in PyTorch and achieved accuracies matching recent literature publications. View source code here.