Anna Cattani

This study evaluates how neural complexity metrics relate to network architecture by simulating neural dynamics across diverse network structures and analyzing both observational and perturbational measures.

This paper uses a biophysical model of the basolateral amygdala to show that specific interneurons generate rhythms critical for fear learning and plasticity.

The paper uses computational models to explain how cortical reactivity changes with adaptation, linking findings from human studies to theoretical frameworks.

This paper compares cortico-cortical evoked potentials (CCEPs) recorded via invasive SEEG and non-invasive hd-EEG during SPES, showing hd-EEG's sensitivity to stimulation parameters and its ability to capture whole-brain dynamics.

This paper provides an open dataset of EEG recordings from precisely known brain locations to evaluate source localization methods.