Abstract: Systems and methods for programming an implantable medical device comprising a simulated environment with at least one lead having a plurality of electrodes, computing hardware of at least one processor and a memory operably coupled to the at least one processor, and instructions that, when executed on the computing hardware, cause the computing hardware to implement a training sub-system configured to conduct a brain sense survey using the simulated environment, develop at least one machine learning model based on the brain sense survey, apply the at least one machine learning model to in-vivo patient data to determine at least one predicted electrode from the plurality of electrodes relative to an oscillatory source, visualize the at least one predicted electrode, and program a medical device based on the at least one predicted electrode.