This project will use multimodal MRI and differentiable simulators to infer virtual brains: computational models calibrated to an individual’s imaging data.

By combining complementary MRI measurements with differentiable simulations, we aim to estimate the underlying brain structure and model parameters. Gradients through the simulators will guide parameter calibration, linking each virtual brain to its measured MRI signals.