James A. Roberts

The paper uses a mathematical model and Bayesian approach to infer population-level physiological parameters of sleep maturation from infancy to early childhood, identifying key changes in sleep homeostasis and consolidation.

This study examines polysynaptic signal propagation in neural mass models across different dynamical regimes and benchmarks results against empirical data.

The paper investigates how frontoparietal and corticothalamic circuits contribute to relational reasoning by analyzing EEG data and neural field models during problem-solving tasks.

This paper introduces a framework for geometry-constrained coupling between neural manifolds, showing how inter-manifold interactions reorganize dynamics and produce critical transitions in brain activity.

The paper uses a mathematical model to analyze sleep patterns in infants and young children, finding developmental changes in sleep homeostasis and circadian rhythms.

This paper develops a functional brain age (FBA) measure from EEG data in children, showing high accuracy in tracking neurodevelopmental maturation.

This study shows that human brain dynamics differ from chimpanzees in dynamic range distribution, supporting faster integration in transmodal systems.

This paper develops a deep learning algorithm to detect and classify artefacts in neonatal EEG signals, achieving high accuracy in identifying artefact types and clean EEG periods.

This study investigates stochastic synchronization in the human connectome, showing that noise can enhance synchronization in neural networks under specific conditions.

This paper develops a method to track functional brain age in preterm infants using EEG, showing it correlates strongly with postmenstrual age and predicts neurodevelopmental outcomes.

The paper identifies reduced structure-function coupling in ADHD, linking it to increased neural noise variability in fronto-parietal networks.

This paper identifies metastable wave patterns in human brain activity, showing they emerge from dynamic nonlinear dynamics and align with multiple imaging modalities.