Hans Jürgen Herrmann

The paper applies maximum entropy modeling to integrate-and-fire neuronal networks to study criticality and finite-size effects in spontaneous activity.

This study shows alpha oscillations in the awake resting-state modulate neural activity through alternating inhibition and excitation bouts, with long-term waxing and waning dynamics not observed during NREM sleep.

The paper combines experimental and simulation techniques to study how cell wall composition affects mechanical properties and growth rate in Arabidopsis pollen tubes.

The paper analyzes broadband resting-state brain activity using neuronal avalanches to reveal long-range power-law correlations in EEG and MEG recordings.