This project aims to develop a framework for bridging the microscopic and macroscopic scales of neural dynamics. Methods will be developed to tailor macroscopic mean-field models to microscopic scale experimental data. The approach will be validated by comparing predictions of mean-field models to experimental data collected from calcium imaging and multi electrode arrays, which provide a ground truth. The creation of subject-specific models from data is important, as there is a large variability in neural circuits between individuals, despite seemingly similar network activity. The intended outcome is new insights into the processes that govern brain function and methods for improving imaging of, and interfacing, to the brain.