Evidence map›Paper›PMID 30224809›Full record

ArticleNature neuroscience2018

Inhibitory connectivity defines the realm of excitatory plasticity.

Gianluigi Mongillo, Simon Rumpel, Yonatan Loewenstein

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Trial
  2. GABA-ergic Dynamics in Human Frontotemporal Networks Confirmed by Pharmaco-Magnetoencephalography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Trial
  3. Article
  4. Article
  5. Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Modular inhibitory coding in binary networks.Frontiers in network physiology · 2026
    Article
  9. Article
  10. Article
  11. Phosphorylation of GABAScientific reports · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Distinct Roles of Astrocytes and GABAergic Neurons in the Paraventricular Thalamic Nucleus in Modulating Diabetic Neuropathic Pain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  17. Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Review
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Gianluigi MongilloCentre National de la Recherche Scientifique (CNRS), Paris, France. gianluigi.mongillo@univ-paris5.fr.
Simon RumpelInstitute of Physiology, Focus Program Translational Neuroscience, University Medical Center, Johannes Gutenberg University, Mainz, Germany.ORCID http://orcid.org/0000-0001-7186-148X
Yonatan LoewensteinDepartment of Neurobiology, the Federmann Center for the Study of Rationality and the Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel. yonatan@huji.ac.il.ORCID http://orcid.org/0000-0003-2577-2317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experiments demonstrate substantial volatility of excitatory connectivity in the absence of any learning. This challenges the hypothesis that stable synaptic connections are necessary for long-term maintenance of acquired information. Here we measure ongoing synaptic volatility and use theoretical modeling to study its consequences on cortical dynamics. We show that in the balanced cortex, patterns of neural activity are primarily determined by inhibitory connectivity, despite the fact that most synapses and neurons are excitatory. Similarly, we show that the inhibitory network is more effective in storing memory patterns than the excitatory one. As a result, network activity is robust to ongoing volatility of excitatory synapses, as long as this volatility does not disrupt the balance between excitation and inhibition. We thus hypothesize that inhibitory connectivity, rather than excitatory, controls the maintenance and loss of information over long periods of time in the volatile cortex.

Indexed as

Models, NeurologicalAction PotentialsAnimalsHumansNeural InhibitionNeural PathwaysNeuronal PlasticityNeuronsSynapses

Identifiers

What OpenQuestion holds

Textmetadata
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.