Nathan Van der Stoep

This study investigates neural markers of auditory working memory load using EEG, finding that alpha-band oscillations, not lateralized responses like CDA, reflect dynamic coding of load.

This study uses recurrent neural networks to simulate how monotonic and timing-tuned responses emerge and transform during visual timing prediction, showing similarities to brain processing.

This study shows frontal theta power predicts response inhibition success in a stop-signal paradigm, with higher theta preceding successful stops and shorter Stop-Signal Reaction Times.