ArticlePLoS computational biology2017
ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 22 citations in OpenAlex.
- Modeling neuron-astrocyte interactions in neural networks using distributed simulation.PLoS computational biology · 2025Article
- Equal levels of pre- and postsynaptic potentiation produce unequal outcomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Astrocytes: new evidence, new models, new roles.Biophysical reviews · 2023Review
- Volume-transmitted GABA waves pace epileptiform rhythms in the hippocampal network.Current biology : CB · 2023Article
- Analysis of Network Models with Neuron-Astrocyte Interactions.Neuroinformatics · 2023Article
- Neuron-Glia Interactions and Brain Circuits.Advances in experimental medicine and biology · 2022Article
- Article
- Article
- A Serverless Tool for Platform Agnostic Computational Experiment Management.Frontiers in neuroinformatics · 2019Article
- A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate.Frontiers in computational neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handling of which requires specific programing skills. Here we put forward a newly developed simulation environment ARACHNE: it enables an investigator to build and explore cellular networks of arbitrary biophysical and architectural complexity using the logic of NEURON and a simple interface on a local computer or a mobile device. The interface can control, through the internet, an optimized computational kernel installed on a remote computer cluster. ARACHNE can combine neuronal (wired) and astroglial (extracellular volume-transmission driven) network types and adopt realistic cell models from the NEURON library. The program and documentation (current version) are available at GitHub repository https://github.com/LeonidSavtchenko/Arachne under the MIT License (MIT).
Indexed as
Identifiers
What OpenQuestion holds
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.