Cees van Leeuwen

The paper analyzes EEG and behavioral data to identify neural and cognitive markers of transitions between focused and mind-wandering states during a tone counting task.

The paper shows retinal waves drive the formation of divergent hubs and convergence in neural networks through adaptive rewiring.

The paper investigates neural activity during precursor fixations, finding enhanced EEG amplitudes compared to other fixation categories, suggesting a distinct role in visual perception.

The paper examines how task-relevance and working memory load influence saccade planning by comparing EEG signals during first and refixations on relevant and irrelevant items.

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.

The paper models brain-like network evolution through adaptive rewiring based on diffusion, showing how weighted networks can balance stability and flexibility by adjusting diffusion rates.

This study shows that repetitive transcranial magnetic stimulation (rTMS) increases phase-amplitude coupling (PAC) in EEG signals, consistent with a neural mass model prediction.