Francisco Páscoa dos Santos

Across 25,000 generative-model networks scored on 29 properties, 635 human and 224 mammalian connectomes cluster in one narrow niche, trading wiring economy for computational capability and robustness.

This study identifies EEG biomarkers of motor recovery after stroke, finding that changes in relative alpha power and network dynamics explain most of the variance in recovery.

This paper investigates how excitatory-inhibitory homeostasis shapes edge-of-bifurcation dynamics and gamma oscillations in cortical networks using the Wilson-Cowan model.

This study shows that multiple excitatory-inhibitory homeostasis mechanisms contribute to metastable dynamics in cortical networks, with local gamma oscillations playing a key role.

This study uses a computational model to show that excitatory-inhibitory homeostasis drives global functional connectivity recovery after cortical lesions and relates to post-stroke symptoms.

The paper compares two models for simulating brain activity across modalities, showing they can replicate functional connectivity and dynamics but with varying performance across modalities.