Modeling the inverse MEG problem in neuro-imaging using Physics Informed Neural Networks
This paper introduces a Physics-Informed Neural Network (PINN) framework for solving MEG forward and inverse problems, achieving a 30.2% improvement over standard Minimum Norm Estimation.
bioRxiv · Mar 6, 2026 · PreprintNeuroscience