Evidence map›Paper›PMID 30222108›Full record

ArticleeLife2018

Competition for synaptic building blocks shapes synaptic plasticity.

Jochen Triesch, Anh Duong Vo, Anne-Sophie Hafner

Open access · goldAbstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

  1. Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scaling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Predictive Coding Light.Nature communications · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Synapse-type-specific competitive Hebbian learning forms functional recurrent networks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Diverging from the Norm: Reevaluating What Miniature Excitatory Postsynaptic Currents Tell Us about Homeostatic Synaptic Plasticity.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Sleep promotes the formation of dendritic filopodia and spines near learning-inactive existing spines.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. Brain is modulated by neuronal plasticity during postnatal development.The journal of physiological sciences : JPS · 2021
    Review
  20. Article
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 at 2 institutions in 1 country.

Jochen TrieschFrankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0001-8166-2441
Anh Duong VoFrankfurt Institute for Advanced Studies, Frankfurt am Main, Germany.
Anne-Sophie HafnerMax-Planck Institute for Brain Research, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0003-4416-7307
Goethe University Frankfurt · DEMax Planck Institute for Brain Research · DE

Funding

Alexander von Humboldt-Stiftung 3.3-1184902-FRA-HFST-PEuropean Molecular Biology Organization ALTF 1095-2015
6 · The paper itself

Abstract

Changes in the efficacies of synapses are thought to be the neurobiological basis of learning and memory. The efficacy of a synapse depends on its current number of neurotransmitter receptors. Recent experiments have shown that these receptors are highly dynamic, moving back and forth between synapses on time scales of seconds and minutes. This suggests spontaneous fluctuations in synaptic efficacies and a competition of nearby synapses for available receptors. Here we propose a mathematical model of this competition of synapses for neurotransmitter receptors from a local dendritic pool. Using minimal assumptions, the model produces a fast multiplicative scaling behavior of synapses. Furthermore, the model explains a transient form of heterosynaptic plasticity and predicts that its amount is inversely related to the size of the local receptor pool. Overall, our model reveals logistical tradeoffs during the induction of synaptic plasticity due to the rapid exchange of neurotransmitter receptors between synapses.

Indexed as

Long-Term PotentiationModels, NeurologicalNeuronal PlasticityProtein SubunitsStochastic ProcessesSynapsesTime FactorsProtein Subunitscomputational modelheterosynaptic plasticityhomosynaptic plasticityneuroscienceneurotransmitter receptornone

Identifiers

PMID30222108
PMCPMC6181566
OpenAlexW2890214939

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.