Dominic M Dunstan

This paper introduces DIP-DCM, a method that improves parameter estimation in neural mass models by using dynamics-informed priors, showing better performance in predicting neuroimaging data and capturing disease mechanisms.

This paper evaluates evolutionary search metaheuristics and approximate Bayesian computation for calibrating neural mass models to EEG data, finding ESMs more efficient and accurate.

This study identifies biomarkers for predicting mild cognitive impairment conversion to Alzheimer's dementia using EEG, neuropsychological tests, and mathematical models.