Evidence map›Paper›PMID 22841310›Full record

ArticleNeuron2012

Adult visual cortical plasticity.

Charles D Gilbert, Wu Li

Open access · bronzeAbstract read
In one paragraph

Article in Neuron, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

115 citing papers in PubMed, 1 synthesis or guideline pooled it, 208 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Boosting Learning Efficacy with Noninvasive Brain Stimulation in Intact and Brain-Damaged Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Trial
  4. Increased Attentive Use Is Linked to More Idiosyncratic Functional Connections.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Review
  6. Review
  7. Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Cortical response to transient and long-term visual field loss.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

55 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Charles D GilbertThe Rockefeller University, New York, NY 10021, USA. gilbert@rockefeller.edu
Wu Li
Beijing Normal University · CNRockefeller University · US

Funding

Adult visual cortical plasticityR01EY018119 · NEI · ROCKEFELLER UNIVERSITY · PI GILBERT, CHARLES D · 2008 to 2012
$2.1M
NEI NIH HHS EY018119NEI NIH HHS R01 EY018119
6 · The paper itself

Abstract

The visual cortex has the capacity for experience-dependent change, or cortical plasticity, that is retained throughout life. Plasticity is invoked for encoding information during perceptual learning, by internally representing the regularities of the visual environment, which is useful for facilitating intermediate-level vision--contour integration and surface segmentation. The same mechanisms have adaptive value for functional recovery after CNS damage, such as that associated with stroke or neurodegenerative disease. A common feature to plasticity in primary visual cortex (V1) is an association field that links contour elements across the visual field. The circuitry underlying the association field includes a plexus of long-range horizontal connections formed by cortical pyramidal cells. These connections undergo rapid and exuberant sprouting and pruning in response to removal of sensory input, which can account for the topographic reorganization following retinal lesions. Similar alterations in cortical circuitry may be involved in perceptual learning, and the changes observed in V1 may be representative of how learned information is encoded throughout the cerebral cortex.

Indexed as

AnimalsHumansLearningNeuronal PlasticityNeuronsVisual CortexVisual Perception

Identifiers

PMID22841310
PMCPMC3408614
OpenAlexW2017742098

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.