Anatol Bragin

This paper uses nonlinear EEG analysis and machine learning to classify mind wandering and focused attention states with 75% accuracy using 5-second segments.

This study shows that scalp EEG high frequency oscillations (HFOs) and their coupling with slow-wave activity correlate with active infantile spasms and can predict them better than hypsarrhythmia.

The paper analyzes the DOWN state in rats during immobility, showing local and generalized slow oscillations in prefrontal cortex and hippocampus with distinct neuronal correlates.