Evidence map›Paper›PMID 20971130›Full record

ReviewVision research2011

Uncovering the visual "alphabet": advances in our understanding of object perception.

Leslie G Ungerleider, Andrew H Bell

Abstract readReview
In one paragraph

Review in Vision research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

27 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. In Memory of Leslie G. Ungerleider.Neuroscience bulletin · 2021
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Emotional Theory of Rationality.Frontiers in integrative neuroscience · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Blood oxygen level-dependent activation of the primary visual cortex predicts size adaptation illusion.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    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

2 authors at 1 institution in 1 country.

Leslie G UngerleiderLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA. ungerlel@mail.nih.gov
Andrew H Bell
National Institutes of Health · US

Funding

Functional Anatomy of Face Processing in the Primate BrainZIAMH002918 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI UNGERLEIDER, LESLIE G · 2009 to 2021
$23.2M
Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

The ability to rapidly and accurately recognize visual stimuli represents a significant computational challenge. Yet, despite such complexity, the primate brain manages this task effortlessly. How it does so remains largely a mystery. The study of visual perception and object recognition was once limited to investigations of brain-damaged individuals or lesion experiments in animals. However, in the last 25years, new methodologies, such as functional neuroimaging and advances in electrophysiological approaches, have provided scientists with the opportunity to examine this problem from new perspectives. This review highlights how some of these recent technological advances have contributed to the study of visual processing and where we now stand with respect to our understanding of neural mechanisms underlying object recognition.

Indexed as

AnimalsForm PerceptionHumansLearningNeuronsPrimatesVisual Cortex

Identifiers

PMID20971130
PMCPMC3208055
OpenAlexW2161480725

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.