CoChat
Sign Up
Cited by 541Visual perception and processing mechanismsMultisensory perception and integrationVisual Attention and Saliency Detection

The Temporal Correlation Hypothesis of Visual Feature Integration

Open access
Gray, Charles M.·1999·Neuron
DOI 10.1016/s0896-6273(00)80820-x
Open this paper in CoChat — free accountOpen PDF

Integrity signals

Registry

Crossref · 10.1016/s0896-6273(00)80820-x

Cites

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

  • Bayesian belief propagation and particle filtering are the most successful computer vision algorithms to date.

    “Bayesian belief propagation 18 -20 and particle filtering 21,22 are the most successful computer vision algorithms to date.”

    From Hierarchical Bayesian inference in the visual cortex (2003) · cites this paper as [18]

The citation lists haven’t been fetched yet

References 721 · Cited by 541

Authors
Gray, C. M.
Affiliations
University of California, Davis (US)
Corresponding author
Gray, Charles M.
Venue
Neuron
Publisher
Elsevier BV
Published
1999-09
Volume
24
Issue
1
Pages
31-47
ISSN
0896-6273 (ISSN-L)
DOI
10.1016/s0896-6273(00)80820-x
OpenAlex
W2066877541
Cited by
541
References
721
Citations by year
2026: 3 · 2025: 5 · 2024: 7 · 2023: 4 · 2022: 13 · 2021: 13 · 2020: 5 · 2019: 11 · 2018: 6 · 2017: 12 · 2016: 10 · 2015: 17 · 2014: 13 · 2013: 16 · 2012: 16
FWCI
3.31
Type
journal article
Language
en
Open access
Licence
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Eye Institute
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
Keywords
visual feature integration, binding problem, cell assemblies, Gestalt grouping, object recognition, object-based attention, distributed neural representation, cortical networks, neuronal synchronization
MeSH terms
Attention, Humans, Models, Biological, Neurons, Time Factors, Visual Perception, Signal Transduction

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