Felipe A. Torres

This paper uses a physics-based model of brain networks to show that frequency-selective stimulation entrains specific sub-networks, with lower frequencies promoting broader synchrony and higher frequencies producing localized effects, determined by network structure and oscillatory dynamics.

This study uses a human connectome-coupled oscillators model to show that multiple coherent subnetworks emerge at maximum spectral entropy, reflecting brain metastability and cognitive flexibility.

This paper uses a thalamocortical computational model to identify optimal auditory stimulation parameters for enhancing slow-wave sleep events like slow oscillations and spindles.