Evidence map›Paper›PMID 32314959›Full record

ArticleeLife2020

Population coupling predicts the plasticity of stimulus responses in cortical circuits.

Yann Sweeney, Claudia Clopath

Abstract 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 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. Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  11. Translational Organic Neural Interface Devices at Single Neuron Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  12. Priority coding in the visual system.Nature reviews. Neuroscience · 2022
    Review
  13. Visual exposure enhances stimulus encoding and persistence in primary cortex.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Article
  15. Review
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  17. Causes and consequences of representational drift.Current opinion in neurobiology · 2019
    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.

Yann SweeneyDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID 0000-0002-2164-2438
Claudia ClopathDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID 0000-0003-4507-8648

Funding

Biotechnology and Biological Sciences Research Council BB/N013956/1Biotechnology and Biological Sciences Research Council BB/N019008/1Engineering and Physical Sciences Research Council EP/R035806/1Simons Foundation 564408Wellcome 200790/Z/16/Z
6 · The paper itself

Abstract

Some neurons have stimulus responses that are stable over days, whereas other neurons have highly plastic stimulus responses. Using a recurrent network model, we explore whether this could be due to an underlying diversity in their synaptic plasticity. We find that, in a network with diverse learning rates, neurons with fast rates are more coupled to population activity than neurons with slow rates. This plasticity-coupling link predicts that neurons with high population coupling exhibit more long-term stimulus response variability than neurons with low population coupling. We substantiate this prediction using recordings from the Allen Brain Observatory, finding that a neuron's population coupling is correlated with the plasticity of its orientation preference. Simulations of a simple perceptual learning task suggest a particular functional architecture: a stable 'backbone' of stimulus representation formed by neurons with low population coupling, on top of which lies a flexible substrate of neurons with high population coupling.

Indexed as

Models, NeurologicalNeural Networks, ComputerAnimalsBrainHumansMiceNerve NetNeuronal PlasticityNeuronsmouseneural network modelsneurosciencesynaptic plasticityvisual cortex

Identifiers

PMID32314959
PMCPMC7224697

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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.