Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation
Jorge Alberto, Benjamin Norbom, Justin E. Golabek, Joshua Wong, Matthew A. Schiefer, Erin E. Patrick
This study compares machine learning models for predicting single-fiber activation in DBS across various electrode configurations, finding that CNNs outperform XGBoost in complex fields.
Deep Brain Stimulation · Sep 7, 2026Peer-reviewedNeuroscience