Evidence map›Paper›PMID 28119596›Full record

ArticleFrontiers in synaptic neuroscience2016

The Role of Neuromodulators in Cortical Plasticity. A Computational Perspective.

Victor Pedrosa, Claudia Clopath

Abstract read
In one paragraph

Article in Frontiers in synaptic neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Local extracellular KProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Astrocyte regulation of synaptic signaling in psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Situational Understanding in the Human and the Machine.Frontiers in systems neuroscience · 2021
    Article
  14. Article
  15. Article
  16. Exploring Neuromodulation for Dynamic Learning.Frontiers in neuroscience · 2020
    Article
  17. Review
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

2 authors.

Victor PedrosaDepartment of Bioengineering, Imperial College LondonLondon, UK; CAPES Foundation, Ministry of Education of BrazilBrasilia, Brazil.
Claudia ClopathDepartment of Bioengineering, Imperial College London London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromodulators play a ubiquitous role across the brain in regulating plasticity. With recent advances in experimental techniques, it is possible to study the effects of diverse neuromodulatory states in specific brain regions. Neuromodulators are thought to impact plasticity predominantly through two mechanisms: the gating of plasticity and the upregulation of neuronal activity. However, the consequences of these mechanisms are poorly understood and there is a need for both experimental and theoretical exploration. Here we illustrate how neuromodulatory state affects cortical plasticity through these two mechanisms. First, we explore the ability of neuromodulators to gate plasticity by reshaping the learning window for spike-timing-dependent plasticity. Using a simple computational model, we implement four different learning rules and demonstrate their effects on receptive field plasticity. We then compare the neuromodulatory effects of upregulating learning rate versus the effects of upregulating neuronal activity. We find that these seemingly similar mechanisms do not yield the same outcome: upregulating neuronal activity can lead to either a broadening or a sharpening of receptive field tuning, whereas upregulating learning rate only intensifies the sharpening of receptive field tuning. This simple model demonstrates the need for further exploration of the rich landscape of neuromodulator-mediated plasticity. Future experiments, coupled with biologically detailed computational models, will elucidate the diversity of mechanisms by which neuromodulatory state regulates cortical plasticity.

Indexed as

acetylcholinecomputational modelingdopamineneuromodulationnoradrenalinesynaptic plasticity

Identifiers

PMID28119596
PMCPMC5222801

What OpenQuestion holds

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Registered trials

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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.