ArticleMemory & cognition2023
Statistical learning guides visual attention within iconic memory.
Article in Memory & cognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Iconic versus working memory metacognition to evaluate the richness of perception: a registered report.Royal Society open science · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study investigated interactions between iconic memory and long-term memory during visual search. The contextual cueing paradigm was combined with a brief presentation procedure to determine whether statistical learning takes place from flashed displays and acts as a cue to guide spatial attention within iconic memory in subsequent visual search. In five experiments, participants were exposed to search displays that were presented for only 50 ms and had to detect a target among 11 distractors. Half of those displays were repeated across the task and half were presented once. The results revealed a contextual cueing effect in four of the experiments, revealing the capacity of the human brain to extract spatial regularities from very brief visual presentations and to later activate this knowledge to guide attention within a representation briefly maintained within iconic memory.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.