Marieke K. van Vugt

This paper trains study-independent mind-wandering classifiers from EEG using CNNs, finding limited generalizability but improved performance with single-trial ERP features.

The paper investigates how controllability metrics in subnetworks deviate from full networks and provides theoretical insights to address this bias.

The paper examines individual differences in temporal structures of sensorimotor variability across tasks and finds some measures show stability but limited external validity.

The paper identifies cognitive stages in MEG data using a novel method and develops a whole-brain model to simulate cortical synchrony during a task, showing thalamic bursts drive state transitions.