Evidence map›Paper›PMID 38244539›Full record

ArticleNeuron2024

Functional specificity of recurrent inhibition in visual cortex.

Petr Znamenskiy, Mean-Hwan Kim, Dylan R Muir, M Florencia Iacaruso, Sonja B Hofer, Thomas D Mrsic-Flogel

Open access · hybridAbstract read
In one paragraph

Article in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
27.4field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 86 citations in OpenAlex.

  1. Deviance detection via competitive inhibition between local neocortical ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026
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  9. Principles of cortical interactions in modular recurrent networks.bioRxiv : the preprint server for biology · 2026
    Article
  10. Modular inhibitory coding in binary networks.Frontiers in network physiology · 2026
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  11. Article
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  13. Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

6 authors at 2 institutions in 2 countries.

Petr ZnamenskiySpecification and Function of Neural Circuits Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK; Sainsbury Wellcome Centre, 25 Howland Street, London W1T 4JG, UK; Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland. Electronic address: petr.znamenskiy@crick.ac.uk.
Mean-Hwan KimBiozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland.
Dylan R MuirBiozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland.
M Florencia IacarusoBiozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland.
Sonja B HoferSainsbury Wellcome Centre, 25 Howland Street, London W1T 4JG, UK; Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland.
Thomas D Mrsic-FlogelSainsbury Wellcome Centre, 25 Howland Street, London W1T 4JG, UK; Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland. Electronic address: t.mrsic-flogel@ucl.ac.uk.
Sainsbury Laboratory · GBUniversity of Basel · CH

Funding

European Research Council 616509Medical Research Council CC2108Swiss National Science Foundation 169802Wellcome Trust 219627Wellcome Trust CC2108
6 · The paper itself

Abstract

In the neocortex, neural activity is shaped by the interaction of excitatory and inhibitory neurons, defined by the organization of their synaptic connections. Although connections among excitatory pyramidal neurons are sparse and functionally tuned, inhibitory connectivity is thought to be dense and largely unstructured. By measuring in vivo visual responses and synaptic connectivity of parvalbumin-expressing (PV+) inhibitory cells in mouse primary visual cortex, we show that the synaptic weights of their connections to nearby pyramidal neurons are specifically tuned according to the similarity of the cells' responses. Individual PV+ cells strongly inhibit those pyramidal cells that provide them with strong excitation and share their visual selectivity. This structured organization of inhibitory synaptic weights provides a circuit mechanism for tuned inhibition onto pyramidal cells despite dense connectivity, stabilizing activity within feature-specific excitatory ensembles while supporting competition between them.

Indexed as

NeocortexVisual CortexAnimalsMiceNeural InhibitionNeuronsPyramidal CellsSynapsescortical circuitsinhibitory neuronsneuronal connectivityvisual cortex

Identifiers

PMID38244539
PMCPMC7618320
OpenAlexW4391069900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.