Low-dimensional controllability of brain networks

1 code implementation • 18 Nov 2023 • Remy Ben Messaoud, Vincent Le Du, Brigitte Charlotte Kaufmann, Baptiste Couvy-Duchesne, Lara Migliaccio, Paolo Bartolomeo, Mario Chavez, Fabrizio De Vico Fallani

Network controllability is a powerful tool to study causal relationships in complex systems and identify the driver nodes for steering the network dynamics into desired states.

Random Forest classifier for EEG-based seizure prediction

no code implementations • 2 Jun 2021 • Remy Ben Messaoud, Mario Chavez

We assessed our method on 20 patients of the benchmark scalp EEG CHB-MIT dataset for a seizure prediction horizon (SPH) of 5 minutes and a seizure occurrence period (SOP) of 30 minutes.

EEG Seizure prediction