Evidence map›Paper›PMID 37081283›Full record

ReviewPsychonomic bulletin & review2023

The Architecture of Object-Based Attention.

Patrick Cavanagh, Gideon P Caplovitz, Taissa K Lytchenko, Marvin R Maechler, Peter U Tse, David L Sheinberg

Abstract readReview
PubMed Publisher
In one paragraph

Review in Psychonomic bulletin & review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Attention Dynamics in Spatial-Temporal Contexts.Behavioral sciences (Basel, Switzerland) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. The Impact of Reward Object on Object-Based Attention.Behavioral sciences (Basel, Switzerland) · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Using Generated Object Reconstructions to Study Object-based Attention.Proceedings of the ... Conference on Cognitive Computational Neuroscience · 2023
    Article
  20. Article
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

6 authors.

Patrick CavanaghDepartment of Psychology, Glendon College, 2275 Bayview Avenue, North York, ON, M4N 3M6, Canada. patcav1@yorku.ca.ORCID http://orcid.org/0000-0003-3164-2340
Gideon P CaplovitzUniversity of Nevada, Reno, Reno, NV, USA.ORCID http://orcid.org/0000-0001-9856-4864
Taissa K LytchenkoUniversity of Nevada, Reno, Reno, NV, USA.ORCID http://orcid.org/0000-0003-2927-4753
Marvin R MaechlerDartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0000-0002-2847-3083
Peter U TseDartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0000-0002-0802-4037
David L SheinbergDepartment of Neuroscience, Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0002-6706-8574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The allocation of attention to objects raises several intriguing questions: What are objects, how does attention access them, what anatomical regions are involved? Here, we review recent progress in the field to determine the mechanisms underlying object-based attention. First, findings from unconscious priming and cueing suggest that the preattentive targets of object-based attention can be fully developed object representations that have reached the level of identity. Next, the control of object-based attention appears to come from ventral visual areas specialized in object analysis that project downward to early visual areas. How feedback from object areas can accurately target the object's specific locations and features is unknown but recent work in autoencoding has made this plausible. Finally, we suggest that the three classic modes of attention may not be as independent as is commonly considered, and instead could all rely on object-based attention. Specifically, studies show that attention can be allocated to the separated members of a group-without affecting the space between them-matching the defining property of feature-based attention. At the same time, object-based attention directed to a single small item has the properties of space-based attention. We outline the architecture of object-based attention, the novel predictions it brings, and discuss how it works in parallel with other attention pathways.

Indexed as

CuesVisual PerceptionHumansAttentionObject-based attentionVision

Identifiers

What OpenQuestion holds

Textmetadata
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.