Enrique Stern

sBOSC identifies neural oscillations in electromagnetic brain signals by detecting oscillatory episodes at their sources with high accuracy.

This study characterizes human brain oscillatory activity using MEG data, revealing that oscillations occur in 25% of recording time and showing distinct anatomical patterns.

The paper investigates how brain natural frequencies change during cognitive tasks using MEG data, finding that while global patterns remain stable, specific regions show task-dependent frequency shifts.

This paper extends natural frequency mapping from MEG to low-density EEG, showing stable spatial patterns and state-dependent modulation across eyes-open and eyes-closed conditions.

This study investigates how pre-stimulus alpha-band amplitude, but not phase, influences near-threshold visual perception in different attentional conditions.