Load Empirical Data, Extract Features, and Compute Predictions
This tutorial provides a Jupyter notebook for the empirical LFP analysis workflow:
loading empirical recordings, extracting catch22 features, and computing
predictions from pre-trained ML assets.
It follows the same script logic as
examples/LFP_developing_brain/LFP_developing_brain.py.
Notebook file: empirical-data-processing.ipynb