Deep learning benchmark for EEG motor imagery classification using the PhysioNet dataset. Compares CNN, LSTM, RF, and EEGNet models on ERP-based features from motor cortex signals.
A collection of course materials for "EEG Signal Processing: An Entry to the World of Brain Waves," offering practical analysis in Python (NumPy, Scikit-learn) and EEGLAB.
Internal evaluation of Dolibarr ERP modules, workflows & data access
We provide a semi-automated Python workflow for reproducible BIDS-EEG and computational modelling analysis. It includes preprocessing, optimized ICA, spectral and ERP/IAF analyses, and hierarchical drift-diffusion modelling (HSSM) linking neural, experimental, and clinical measures to latent decision processes, all configured in one JSON file.
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