What to expect where and when: How statistical learning drives visual selection

J Theeuwes, L Bogaerts, D van Moorselaar - Trends in cognitive sciences, 2022 - cell.com
While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …

Inhibition in selective attention

D Van Moorselaar, HA Slagter - … of the New York Academy of …, 2020 - Wiley Online Library
Our ability to focus on goal‐relevant aspects of the environment is critically dependent on
our ability to ignore or inhibit distracting information. One perspective is that distractor …

[HTML][HTML] Ten simple rules to study distractor suppression

M Wöstmann, VS Störmer, J Obleser… - Progress in …, 2022 - Elsevier
Distractor suppression refers to the ability to filter out distracting and task-irrelevant
information. Distractor suppression is essential for survival and considered a key aspect of …

The distractor positivity component and the inhibition of distracting stimuli

N Gaspelin, D Lamy, HE Egeth, HR Liesefeld… - Journal of cognitive …, 2023 - direct.mit.edu
There has been a long-lasting debate about whether salient stimuli, such as uniquely
colored objects, have the ability to automatically distract us. To resolve this debate, it has …

Statistical learning of distractor suppression downregulates prestimulus neural excitability in early visual cortex

O Ferrante, A Zhigalov, C Hickey… - Journal of …, 2023 - Soc Neuroscience
Visual attention is highly influenced by past experiences. Recent behavioral research has
shown that expectations about the spatial location of distractors within a search array are …

Strategic distractor suppression improves selective control in human vision

W Van Zoest, C Huber-Huber, MD Weaver… - Journal of …, 2021 - Soc Neuroscience
Our visual environment is complicated, and our cognitive capacity is limited. As a result, we
must strategically ignore some stimuli to prioritize others. Common sense suggests that …

[HTML][HTML] Neural mechanisms underlying expectation-dependent inhibition of distracting information

D van Moorselaar, E Lampers, E Cordesius, HA Slagter - elife, 2020 - elifesciences.org
Predictions based on learned statistical regularities in the visual world have been shown to
facilitate attention and goal-directed behavior by sharpening the sensory representation of …

[HTML][HTML] Terms of debate: Consensus definitions to guide the scientific discourse on visual distraction

HR Liesefeld, D Lamy, N Gaspelin, JJ Geng… - Attention, Perception, & …, 2024 - Springer
Hypothesis-driven research rests on clearly articulated scientific theories. The building
blocks for communicating these theories are scientific terms. Obviously, communication–and …

[HTML][HTML] Neural mechanisms underlying distractor inhibition on the basis of feature and/or spatial expectations

D van Moorselaar, N Daneshtalab, HA Slagter - Cortex, 2021 - Elsevier
A rapidly growing body of research indicates that inhibition of distracting information may not
be under flexible, top-down control, but instead heavily relies on expectations derived from …

Modulations of saliency signals at two hierarchical levels of priority computation revealed by spatial statistical distractor learning.

HR Liesefeld, HJ Müller - Journal of Experimental Psychology …, 2021 - psycnet.apa.org
Many attention theories assume that selection is guided by a preattentive, spatial
representation of the scene that combines bottom-up stimulus information with top-down …