Evidence map›Paper›PMID 22922685›Full record

ReviewThe Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry2013

The logic of inhibitory connectivity in the neocortex.

Elodie Fino, Adam M Packer, Rafael Yuste

Abstract readReview
In one paragraph

Review in The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Modular inhibitory coding in binary networks.Frontiers in network physiology · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Pharmacological Signature and Target Specificity of Inhibitory Circuits Formed by Martinotti Cells in the Mouse Barrel Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  20. Article

38 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

3 authors.

Elodie FinoHHMI, Department of Biological Sciences, Columbia University, New York, NY, USA. elodie.fino@college-de-france.fr
Adam M Packer
Rafael Yuste

Funding

IMAGING FUNCTIONAL CONNECTIVITY IN VISUAL CORTEXR01EY011787 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YUSTE, RAFAEL · 1998 to 2021
$6.4M
NEI NIH HHS R01 EY011787
6 · The paper itself

Abstract

Although inhibition plays a major role in the function of the mammalian neocortex, the circuit connectivity of GABAergic interneurons has remained poorly understood. The authors review recent studies of the connections made to and from interneurons, highlighting the overarching principle of a high density of unspecific connections in inhibitory connectivity. Whereas specificity remains in the subcellular targeting of excitatory neurons by interneurons, the general strategy appears to be for interneurons to provide a global "blanket of inhibition" to nearby neurons. In the review, the authors highlight the fact that the function of interneurons, which remains elusive, will be informed by understanding the structure of their connectivity as well as the dynamics of inhibitory synaptic connections. In a last section, the authors describe briefly the link between dense inhibitory networks and different interneuron functions described in the neocortex.

Indexed as

AnimalsGABAergic NeuronsLogicNeocortexNerve NetNeural InhibitionNeural PathwaysconnectivityGABAergicinhibitioninterneuronsnetworks

Identifiers

PMID22922685
PMCPMC4133777

What OpenQuestion holds

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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.