Evidence map›Paper›PMID 36225653›Full record

ArticleFrontiers in neuroinformatics2022

The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models.

Luca Leonardo Bologna, Roberto Smiriglia, Carmen Alina Lupascu, Shailesh Appukuttan, Andrew P Davison, Genrich Ivaska, Jean-Denis Courcol, Michele Migliore

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

8 authors.

Luca Leonardo BolognaInstitute of Biophysics, National Research Council, Palermo, Italy.
Roberto SmirigliaInstitute of Biophysics, National Research Council, Palermo, Italy.
Carmen Alina LupascuInstitute of Biophysics, National Research Council, Palermo, Italy.
Shailesh AppukuttanCentre National de la Recherche Scientifique, Institut des Neurosciences Paris-Saclay, Université Paris-Saclay, Saclay, France.
Andrew P DavisonCentre National de la Recherche Scientifique, Institut des Neurosciences Paris-Saclay, Université Paris-Saclay, Saclay, France.
Genrich IvaskaBlue Brain Project, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland.
Jean-Denis CourcolBlue Brain Project, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland.
Michele MiglioreInstitute of Biophysics, National Research Council, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decades, brain modeling has been established as a fundamental tool for understanding neural mechanisms and information processing in individual cells and circuits at different scales of observation. Building data-driven brain models requires the availability of experimental data and analysis tools as well as neural simulation environments and, often, large scale computing facilities. All these components are rarely found in a comprehensive framework and usually require

Indexed as

data-driven brain modelsEBRAINShigh-performance computingmodel optimizationneurononline resources

Identifiers

PMID36225653
PMCPMC9549939

What OpenQuestion holds

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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.