Evidence map›Paper›PMID 38280837›Full record

ReviewTrends in cognitive sciences2024

Representational structures as a unifying framework for attention.

Angus F Chapman, Viola S Störmer

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Angus F ChapmanDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA. Electronic address: angusc@bu.edu.
Viola S StörmerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA. Electronic address: viola.s.stoermer@dartmouth.edu.

Funding

Experience-based and intentional suppression of distracting informationR01MH133689 · NIMH · DARTMOUTH COLLEGE · PI Viola S. Stoermer · 2023 to 2026
$1.6M
NIMH NIH HHS R01 MH133689
6 · The paper itself

Abstract

Our visual system consciously processes only a subset of the incoming information. Selective attention allows us to prioritize relevant inputs, and can be allocated to features, locations, and objects. Recent advances in feature-based attention suggest that several selection principles are shared across these domains and that many differences between the effects of attention on perceptual processing can be explained by differences in the underlying representational structures. Moving forward, it can thus be useful to assess how attention changes the structure of the representational spaces over which it operates, which include the spatial organization, feature maps, and object-based coding in visual cortex. This will ultimately add to our understanding of how attention changes the flow of visual information processing more broadly.

Indexed as

AttentionVisual PerceptionHumansVisual Cortexfeature-based attentionobject-based attentionrepresentationrepresentational geometryselective attentionspatial attention

Identifiers

PMID38280837
PMCPMC11290436

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.