Dirk van Moorselaar

This study investigates the neural correlates of parallel and serial visual search modes using EEG, showing distinct neural patterns and attentional dynamics under identical visual conditions.

This study shows that expectations about search difficulty modulate attention through gain-based signal enhancement rather than changes in spatial scope.

The paper investigates whether learned distractor suppression operates in retinotopic or spatiotopic coordinates after saccadic eye movements, finding it operates exclusively in retinotopic coordinates.

The paper investigates how attentional biases are formed in static and dynamic environments, finding that object-based learning allows for object-centered attention while egocentric learning remains viewpoint-dependent.

The paper investigates whether suppression of a high-probability distractor location is proactive or reactive by using EEG and spatial memory tasks to probe attentional priority maps.

The paper shows that early visual cortex suppresses potential distractors based on learned spatial priors, even before stimuli are presented.

The paper uses EEG to decode spatial positions of predicted but omitted events, showing dynamic weight changes in a spatial priority map.

The paper demonstrates a method to visualize history-mediated attentional priority maps using EEG and multivariate pattern analysis during intertrial periods.

The paper investigates the electrophysiological markers of statistically learned attentional enhancement and finds it differs from top-down attention by lacking alpha lateralization but showing increased N2pc amplitudes at high-probability locations.

The paper examines how target expectations influence electrophysiological indices of distractor processing in visual search, showing that distractor positivity (PD) is attenuated when target features vary randomly.

This study investigates how feature and spatial expectations influence distractor inhibition using EEG and the additional singleton paradigm, revealing contributions from intertrial priming and statistical learning.

The paper investigates how attentional selection affects conscious access to visual targets in rapidly changing input conditions, finding both impairments and facilitations in target processing.

This study investigates how the brain uses learned statistical regularities to inhibit distracting information, finding that neural effects depend on task relevance and prediction dimension.

The paper investigates the dissociation between selective attention and storage in working memory using EEG, showing they are distinct processes with different dynamics based on the importance of WM representations.

The paper replicates two studies on visual working memory and attentional capture, finding reliable results that suggest the need to determine boundary conditions for memory-driven capture.

This study investigates how expectations about distractors and targets influence neural mechanisms of inhibition and facilitation during search tasks, revealing distinct neural dynamics for each.