An exploratory and educational project on EEG-based emotion recognition using the FACED dataset, with extensive preprocessing, spectral feature extraction, model comparison, and performance analysis, extended to explore recent graph neural networks, pretrained EEG models, and Mamba-based architectures.
deep-learning signal-processing neuroscience cnn pytorch eeg feature-extraction lstm pretrained-models bci affective-computing mamba brain-computer-interface emotion-recognition eegnet graph-neural-networks faced foundation-models deepconvnet faced-dataset
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Updated
Nov 4, 2026 - Jupyter Notebook