Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.

The article discusses a study regarding the use of calibrate populations of models (POMs) to data density to unlock data sets from cardiac electrophysiology. Topics discussed include the impact of the approach on the different hypotheses about variability underlying complex systems, the application of Courtemanche-Ramirez-Nattel (CRN) model to construct silico POMs, and the improvement of calibration of populations of models to data through Sequential Monte Carlo (SMC).