Evidence map›Paper›PMID 26217218›Full record

ReviewFrontiers in computational neuroscience2015

Homeostatic role of heterosynaptic plasticity: models and experiments.

Marina Chistiakova, Nicholas M Bannon, Jen-Yung Chen, Maxim Bazhenov, Maxim Volgushev

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

51 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026
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  9. Review
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  13. Heterosynaptic plasticity-induced modulation of synapses.The journal of physiological sciences : JPS · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  18. Role of Sleep in Formation of Relational Associative Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  19. Article
  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

5 authors at 2 institutions in 1 country.

Marina ChistiakovaDepartment of Psychology, University of Connecticut Storrs, CT, USA.
Nicholas M BannonDepartment of Psychology, University of Connecticut Storrs, CT, USA.
Jen-Yung ChenDepartment of Cell Biology and Neuroscience, University of California, Riverside Riverside, CA, USA.
Maxim BazhenovDepartment of Cell Biology and Neuroscience, University of California, Riverside Riverside, CA, USA.
Maxim VolgushevDepartment of Psychology, University of Connecticut Storrs, CT, USA.
University of Connecticut · USUniversity of California, Riverside · US

Funding

The role of heterosynaptic plasticity in achieving stable yet adaptable memory stR01MH087631 · NIMH · UNIVERSITY OF CONNECTICUT STORRS · PI VOLGUSHEV, MAXIM · 2010 to 2014
$1.9M
NIMH NIH HHS R01 MH087631
6 · The paper itself

Abstract

Homosynaptic Hebbian-type plasticity provides a cellular mechanism of learning and refinement of connectivity during development in a variety of biological systems. In this review we argue that a complimentary form of plasticity-heterosynaptic plasticity-represents a necessary cellular component for homeostatic regulation of synaptic weights and neuronal activity. The required properties of a homeostatic mechanism which acutely constrains the runaway dynamics imposed by Hebbian associative plasticity have been well-articulated by theoretical and modeling studies. Such mechanism(s) should robustly support the stability of operation of neuronal networks and synaptic competition, include changes at non-active synapses, and operate on a similar time scale to Hebbian-type plasticity. The experimentally observed properties of heterosynaptic plasticity have introduced it as a strong candidate to fulfill this homeostatic role. Subsequent modeling studies which incorporate heterosynaptic plasticity into model neurons with Hebbian synapses (utilizing an STDP learning rule) have confirmed its ability to robustly provide stability and competition. In contrast, properties of homeostatic synaptic scaling, which is triggered by extreme and long lasting (hours and days) changes of neuronal activity, do not fit two crucial requirements for a hypothetical homeostatic mechanism needed to provide stability of operation in the face of on-going synaptic changes driven by Hebbian-type learning rules. Both the trigger and the time scale of homeostatic synaptic scaling are fundamentally different from those of the Hebbian-type plasticity. We conclude that heterosynaptic plasticity, which is triggered by the same episodes of strong postsynaptic activity and operates on the same time scale as Hebbian-type associative plasticity, is ideally suited to serve a homeostatic role during on-going synaptic plasticity.

Indexed as

Hebbian plasticityheterosynaptic plasticityhomeostasishomosynaptic plasticityrunaway dynamicsSTDPsynaptic plasticity

Identifiers

PMID26217218
PMCPMC4500102
OpenAlexW1504248943

What OpenQuestion holds

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LicenceCC BY
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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.