Nina Baldy

This paper develops a normative modeling framework to analyze static and dynamic functional connectivity across lifespan, revealing distinct age-related trajectories for each.

This paper develops Bayesian inference methods for Dynamic Causal Modelling using probabilistic programming languages to improve neural dynamics prediction.

This study uses deep learning to improve inference on spiking neuron networks, showing better performance in handling noise and missing data compared to traditional methods.