Gianluca Gaglioti

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 study shows that blindness changes occipital cortex dynamics to resemble frontal cortex, enhancing top-down connectivity and linking faster dynamics to stronger frontal influence.

This paper introduces a non-invasive framework linking consciousness measures to non-equilibrium thermodynamics by analyzing FDT violations in humans and rodents across different states of consciousness.

The paper analyzes TMS-evoked potentials (TEPs) from different cortical regions to characterize their temporal features and relates them to network properties.

This paper models post-lesional slow waves in brain networks, identifying mechanisms for their generation and propagation.

The paper uses electrophysiology and modeling to show that high-order brain regions have higher excitability due to recurrent feedback, revealing a gradient linked to cortical hierarchy.