Cited by 2,159Visual perception and processing mechanismsVisual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Mechanisms of visual attention in the human cortex

Ungerleider, Sabine Kastner and Leslie G.·2000·Annual Review of Neuroscience

Abstract

A typical scene contains many different objects that, because of the limited processing capacity of the visual system, compete for neural representation. The competition among multiple objects in visual cortex can be biased by both bottom-up sensory-driven mechanisms and top-down influences, such as selective attention. Functional brain imaging studies reveal that, both in the absence and in the presence of visual stimulation, biasing signals due to selective attention can modulate neural activity in visual cortex in several ways. Although the competition among stimuli for representation is ultimately resolved within visual cortex, the source of top-down biasing signals derives from a network of areas in frontal and parietal cortex.

Integrity signals

Registry

Crossref · 10.1146/annurev.neuro.23.1.315

Cites

184 of 184 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ungerleider, S. K. A. L. G.
Affiliations
Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, 20892;,
Venue
Annual Review of Neuroscience
Published
2000-03
Volume
23
Issue
1
Pages
315-341
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
OpenAlex
W2164364459
Cited by
2,159
References
184
Citations by year
2026: 46 · 2025: 74 · 2024: 58 · 2023: 42 · 2022: 72 · 2021: 81 · 2020: 72 · 2019: 80 · 2018: 89 · 2017: 93 · 2016: 97 · 2015: 110 · 2014: 109 · 2013: 113 · 2012: 120
FWCI
3.96
Type
journal article
Language
en
Open access
closed
Locations
  • Annual Review of Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
visual attention, selective attention, top-down modulation, bottom-up processing, visual cortex, neural competition, frontal cortex, parietal cortex, object representation
MeSH terms
Animals, Attention, Humans, Memory, Visual Cortex, Visual Pathways, Visual Perception

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review