Tomer Fekete

This paper introduces multiscale criticality measures (MsCr) to assess brain function across disorders by analyzing MEG and EEG data.

This study proposes a network model to explain the emergence of cortical maps in different anesthetic states and shows that local network balance and feature-specific connections drive map-like activity.

This study predicts cognitive load during intelligence tests using EEG features and machine learning models, showing improved performance with subject-specific neural networks.