Machine learning approaches to predicting whether muscles can be elicited via TMS
Fang Jin, Sjoerd M. Bruijn, Andreas Daffertshofer
This paper uses machine learning to predict motor evoked potential (MEP) presence from TMS setup parameters, achieving up to 90% accuracy within subjects.