ArticleAttention, perception & psychophysics2023
Integrated effects of top-down attention and statistical learning during visual search: An EEG study.
Article in Attention, perception & psychophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Coupling between statistical learning and interference suppression.Psychological research · 2026Article
- Guidance of attention by statistical learning when multiple guidance mechanisms compete.Attention, perception & psychophysics · 2026Article
- Past and present goals are represented concurrently during visual search.PLoS biology · 2026Article
- Visual statistical learning requires attention.Psychonomic bulletin & review · 2025Article
- Complex trade-offs in a dual-target visual search task are indexed by lateralised ERP components.Scientific reports · 2024Article
- Intimate relationships regulate female brain activity in a competitive context: evidence from EEG and functional connectivity analysis.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aims to investigate how the competition between visual elements is solved by top-down and/or statistical learning (SL) attentional control (AC) mechanisms when active together. We hypothesized that the "winner" element that will undergo further processing is selected either by one AC mechanism that prevails over the other, or by the joint activity of both mechanisms. To test these hypotheses, we conducted a visual search experiment that combined an endogenous cueing protocol (valid vs. neutral cue) and an imbalance of target frequency distribution across locations (high- vs. low-frequency location). The unique and combined effects of top-down control and SL mechanisms were measured on behaviour and amplitudes of three evoked-response potential (ERP) components (i.e., N2pc, P1, CNV) related to attentional processing. Our behavioural results showed better performance for validly cued targets and for targets in the high-frequency location. The two factors were found to interact, so that SL effects emerged only in the absence of top-down guidance. Whereas the CNV and P1 only displayed a main effect of cueing, for the N2pc we observed an interaction between cueing and SL, revealing a cueing effect for targets in the low-frequency condition, but not in the high-frequency condition. Thus, our data support the view that top-down control and SL work in a conjoint, integrated manner during target selection. In particular, SL mechanisms are reduced or even absent when a fully reliable top-down guidance of attention is at play.
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