Evidence map›Paper›PMID 36787352›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Neuronal morphology enhances robustness to perturbations of channel densities.

Yunliang Zang, Eve Marder

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  9. Neuronal network complexity can strengthens activity robustness.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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.

Yunliang ZangVolen Center, Brandeis University, Waltham, MA 02454.ORCID 0000-0001-8999-1936
Eve MarderVolen Center, Brandeis University, Waltham, MA 02454.ORCID 0000-0001-9632-5448

Funding

Neuromodulation and Robustness of Neurons and NetworksR35NS097343 · NINDS · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 2017 to 2024
$7.8M
Variability and Compensation in Reliable Neuronal NetworksR01MH046742 · NIMH · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 1990 to 2025
$7.8M
NIMH NIH HHS R01 MH046742NINDS NIH HHS R35 NS097343
6 · The paper itself

Abstract

Biological neurons show significant cell-to-cell variability but have the striking ability to maintain their key firing properties in the face of unpredictable perturbations and stochastic noise. Using a population of multi-compartment models consisting of soma, neurites, and axon for the lateral pyloric neuron in the crab stomatogastric ganglion, we explore how rebound bursting is preserved when the 14 channel conductances in each model are all randomly varied. The coupling between the axon and other compartments is critical for the ability of the axon to spike during bursts and consequently determines the set of successful solutions. When the coupling deviates from a biologically realistic range, the neuronal tolerance of conductance variations is lessened. Thus, the gross morphological features of these neurons enhance their robustness to perturbations of channel densities and expand the space of individual variability that can maintain a desired output pattern.

Indexed as

Models, NeurologicalNeuronsAction PotentialsAxonsPyloruscompartmental modelsindividual variabilityion channelsneuronal resilienceparameter space

Identifiers

PMID36787352
PMCPMC9974411

What Socratic 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 Socratic graph.