Evidence map›Paper›PMID 26158556›Full record

ArticlePLoS computational biology2015

A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks.

Yann Sweeney, Jeanette Hellgren Kotaleski, Matthias H Hennig

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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  10. Hebbian plasticity requires compensatory processes on multiple timescales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  11. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Article
  12. 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 2 countries.

Yann SweeneyInstitute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom; Department of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden.
Jeanette Hellgren KotaleskiDepartment of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden.
Matthias H HennigInstitute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
KTH Royal Institute of Technology · SEUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F529254/1Medical Research Council G0900425
6 · The paper itself

Abstract

Gaseous neurotransmitters such as nitric oxide (NO) provide a unique and often overlooked mechanism for neurons to communicate through diffusion within a network, independent of synaptic connectivity. NO provides homeostatic control of intrinsic excitability. Here we conduct a theoretical investigation of the distinguishing roles of NO-mediated diffusive homeostasis in comparison with canonical non-diffusive homeostasis in cortical networks. We find that both forms of homeostasis provide a robust mechanism for maintaining stable activity following perturbations. However, the resulting networks differ, with diffusive homeostasis maintaining substantial heterogeneity in activity levels of individual neurons, a feature disrupted in networks with non-diffusive homeostasis. This results in networks capable of representing input heterogeneity, and linearly responding over a broader range of inputs than those undergoing non-diffusive homeostasis. We further show that these properties are preserved when homeostatic and Hebbian plasticity are combined. These results suggest a mechanism for dynamically maintaining neural heterogeneity, and expose computational advantages of non-local homeostatic processes.

Indexed as

Models, NeurologicalAction PotentialsAnimalsComputer SimulationHomeostasisHumansNerve NetNeuronal PlasticityNeurotransmitter AgentsNitric OxideNeurotransmitter AgentsNitric Oxide

Identifiers

PMID26158556
PMCPMC4497656
OpenAlexW2952520255

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.