Fast And Accurate Population Level Transcranial Magnetic Stimulation via Low-Rank Probabilistic Matrix Decomposition (PMD)
Nahian I. Hasan, Dezhi Wang, Luis J. Gomez
The paper develops a fast method to predict transcranial magnetic stimulation (TMS) electric field (E-field) across many coil placements using probabilistic matrix decomposition, achieving rapid and accurate predictions for population-level TMS applications.
bioRxiv · Feb 8, 2023 · PreprintNeuroscience