Evidence map›Paper›PMID 32598278›Full record

ArticleeLife2020

Inhibition stabilization is a widespread property of cortical networks.

Alessandro Sanzeni, Bradley Akitake, Hannah C Goldbach, Caitlin E Leedy, Nicolas Brunel, Mark H Histed

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
12.5field-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

104 citing papers in PubMed, 169 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Spatiotemporal Divergence Between Intrinsic And Evoked Cortical Activity Predicts Visual Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  18. Interhemispheric resting-state functional connectivity correlates with spontaneous neural interactions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. 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
    Article
  20. Review

44 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

6 authors at 2 institutions in 1 country.

Alessandro Sanzeni *NIMH Intramural Program, National Institutes of Health, Bethesda, United States.ORCID 0000-0001-8758-1810
Bradley Akitake *NIMH Intramural Program, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-1817-4573
Hannah C GoldbachNIMH Intramural Program, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-5697-4694
Caitlin E LeedyNIMH Intramural Program, National Institutes of Health, Bethesda, United States.ORCID 0000-0001-9277-5409
Nicolas BrunelDepartment of Neurobiology, Duke University, Durham, United States.ORCID 0000-0002-2272-3248
Mark H HistedNIMH Intramural Program, National Institutes of Health, Bethesda, United States.ORCID 0000-0001-8235-7908
National Institutes of Health · USDuke University · US

Funding

Patterns of neuronal activity underlying behavioral decisionsZIAMH002956 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI HISTED, MARK · 2016 to 2025
$11.1M
Computation by recurrent circuits of the cerebral cortexZIAMH002967 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI HISTED, MARK · 2017 to 2025
$7.0M
Circuitry underlying response summation in mouse and primate: Theory and experimentU01NS108683 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BRUNEL, NICOLAS, MILLER, KENNETH D · 2018 to 2020
$2.8M
BRAIN project (Histed): Readout and Control of Spatiotemporal Neuronal Codes of BehaviorZIAMH002972 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI HISTED, MARK · 2019 to 2023
$1.5M
BRAIN project: Circuitry Underlying Response Summation: Theory and ExperimentZIAMH002973 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI HISTED, MARK · 2019 to 2021
$582k
NINDS NIH HHS U01 NS108683
6 · The paper itself

Abstract

Many cortical network models use recurrent coupling strong enough to require inhibition for stabilization. Yet it has been experimentally unclear whether inhibition-stabilized network (ISN) models describe cortical function well across areas and states. Here, we test several ISN predictions, including the counterintuitive (paradoxical) suppression of inhibitory firing in response to optogenetic inhibitory stimulation. We find clear evidence for ISN operation in mouse visual, somatosensory, and motor cortex. Simple two-population ISN models describe the data well and let us quantify coupling strength. Although some models predict a non-ISN to ISN transition with increasingly strong sensory stimuli, we find ISN effects without sensory stimulation and even during light anesthesia. Additionally, average paradoxical effects result only with transgenic, not viral, opsin expression in parvalbumin (PV)-positive neurons; theory and expression data show this is consistent with ISN operation. Taken together, these results show strong coupling and inhibition stabilization are common features of the cortex.

Indexed as

AnimalsAnimals, Genetically ModifiedFemaleInterneuronsMaleMiceMotor CortexNerve NetNeural InhibitionParvalbuminsSomatosensory CortexVisual CortexParvalbuminscortical modelsinhibitory stabilized networkmodel inferencemouseneuroscienceoptogeneticsparadoxicaltransgenic animals

Identifiers

PMID32598278
PMCPMC7324160
OpenAlexW3040146654

What OpenQuestion holds

Textmetadata
LicenceCC0
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.