Artemio Soto-Breceda

This paper presents a simulation framework to evaluate EEG source localisation methods by generating biologically plausible seizure dynamics and EEG signals with known ground truth.

This paper uses structural eigenmodes of the brain to improve EEG source localization in epilepsy, finding geometric eigenmodes slightly outperform connectome eigenmodes.

This study uses a neural mass model to analyze iEEG data from a Tetanus Toxin rat epilepsy model, finding correlations between connectivity weights and seizure frequency, and showing longer recovery times before seizures.

The paper develops a neural mass model of a cortical column to study inhibitory stabilization across layers, finding that layers 4 and 5 exhibit ISN behavior with paradoxical responses, while layer 2/3 does not.