ArticleFrontiers in neuroinformatics2017
Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability.
Article in Frontiers in neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Numerical Simulations and Bifurcation of CaCell biochemistry and biophysics · 2025Article
- Analysis of Network Models with Neuron-Astrocyte Interactions.Neuroinformatics · 2023Article
- Neuron-Glia Interactions and Brain Circuits.Advances in experimental medicine and biology · 2022Article
- Modeling of Astrocyte Networks: Toward Realistic Topology and Dynamics.Frontiers in cellular neuroscience · 2021Article
- Astrocyte-mediated spike-timing-dependent long-term depression modulates synaptic properties in the developing cortex.PLoS computational biology · 2020Article
- Computational chemistry experiments performed directly on a blockchain virtual computer.Chemical science · 2020Article
- Simulation of calcium signaling in fine astrocytic processes: Effect of spatial properties on spontaneous activity.PLoS computational biology · 2019Article
- Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail.Journal of computational neuroscience · 2018Article
- Disentangling astroglial physiology with a realistic cell model in silico.Nature communications · 2018Article
- Code Generation in Computational Neuroscience: A Review of Tools and Techniques.Frontiers in neuroinformatics · 2018Review
- Computational Models for Calcium-Mediated Astrocyte Functions.Frontiers in computational neuroscience · 2018Review
- Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures.Frontiers in neuroinformatics · 2018Article
- Sustainable computational science: the ReScience initiative.PeerJ. Computer science · 2017Article
- Successes and Struggles with Computational Reproducibility: Lessons from the Fragile Families Challenge.Socius : sociological research for a dynamic worldArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The scientific community across all disciplines faces the same challenges of ensuring accessibility, reproducibility, and efficient comparability of scientific results. Computational neuroscience is a rapidly developing field, where reproducibility and comparability of research results have gained increasing interest over the past years. As the number of computational models of brain functions is increasing, we chose to address reproducibility using four previously published computational models of astrocyte excitability as an example. Although not conventionally taken into account when modeling neuronal systems, astrocytes have been shown to take part in a variety of
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Registered trials
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.