Evidence map›Paper›PMID 28267430›Full record

ArticleeLife2017

Mapping the function of neuronal ion channels in model and experiment.

William F Podlaski, Alexander Seeholzer, Lukas N Groschner, Gero Miesenböck, Rajnish Ranjan, Tim P Vogels

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Distribution and voltage dependence of ion channels shape single-neuron computations.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. bioRxiv : the preprint server for biology · 2025
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  8. Review
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  13. Reconstruction of the Hippocampus.Advances in experimental medicine and biology · 2022
    Article
  14. Article
  15. Computational Concepts for Reconstructing and Simulating Brain Tissue.Advances in experimental medicine and biology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

6 authors.

William F PodlaskiCentre for Neural Circuits and Behaviour, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6619-7502
Alexander SeeholzerSchool of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-1541-4906
Lukas N GroschnerCentre for Neural Circuits and Behaviour, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4325-0232
Gero MiesenböckCentre for Neural Circuits and Behaviour, University of Oxford, Oxford, United Kingdom.
Rajnish RanjanBlue Brain Project, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland.
Tim P VogelsCentre for Neural Circuits and Behaviour, University of Oxford, Oxford, United Kingdom.

Funding

Medical Research Council G0700888Medical Research Council G0701225Wellcome Trust WT090309Wellcome Trust WT100000Wellcome Trust WT106988
6 · The paper itself

Abstract

Ion channel models are the building blocks of computational neuron models. Their biological fidelity is therefore crucial for the interpretation of simulations. However, the number of published models, and the lack of standardization, make the comparison of ion channel models with one another and with experimental data difficult. Here, we present a framework for the automated large-scale classification of ion channel models. Using annotated metadata and responses to a set of voltage-clamp protocols, we assigned 2378 models of voltage- and calcium-gated ion channels coded in

Indexed as

Computational BiologyDatabases, FactualIon ChannelsModels, NeurologicalNeuronsIon Channelscomparison toolcomputational biologycomputational modelingD. melanogasterelectrophysiologyion channelsneuroinformaticsneurosciencesystems biologyvoltage-gated

Identifiers

PMID28267430
PMCPMC5340531

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.