Evidence map›Paper›PMID 32453727›Full record

ArticlePLoS computational biology2020

Modeling the temporal network dynamics of neuronal cultures.

Jose Cadena, Ana Paula Sales, Doris Lam, Heather A Enright, Elizabeth K Wheeler, Nicholas O Fischer

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Mitochondrial CaNature metabolism · 2026
    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

6 authors.

Jose CadenaEngineering Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0002-6161-7480
Ana Paula SalesEngineering Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0001-7132-2435
Doris LamPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0002-3882-9514
Heather A EnrightPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0001-6422-0481
Elizabeth K WheelerEngineering Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.ORCID 0000-0003-0928-2975
Nicholas O FischerPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurons form complex networks that evolve over multiple time scales. In order to thoroughly characterize these networks, time dependencies must be explicitly modeled. Here, we present a statistical model that captures both the underlying structural and temporal dynamics of neuronal networks. Our model combines the class of Stochastic Block Models for community formation with Gaussian processes to model changes in the community structure as a smooth function of time. We validate our model on synthetic data and demonstrate its utility on three different studies using in vitro cultures of dissociated neurons.

Indexed as

Action PotentialsModels, NeurologicalAnimalsCells, CulturedCerebral CortexElectrodesHippocampusMarkov ChainsMiceNerve NetNeurogliaNeuronsNormal DistributionProbabilityRatsStochastic Processes

Identifiers

PMID32453727
PMCPMC7274455

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.