ArticleNeuroinformatics2015
ModelView for ModelDB: Online Presentation of Model Structure.
Article in Neuroinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub.Frontiers in neuroinformatics · 2023Article
- Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2.PLoS computational biology · 2022Article
- NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs.Journal of neuroscience methods · 2022Article
- The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models.Frontiers in neuroinformatics · 2022Article
- Quantitative description of the interactions among kinase cascades underlying long-term plasticity of Aplysia sensory neurons.Scientific reports · 2021Article
- The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data.Frontiers in neuroinformatics · 2021Article
- Article
- Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.Journal of computational neuroscience · 2017Review
- Computational model of a positive BDNF feedback loop in hippocampal neurons following inhibitory avoidance training.Learning & memory (Cold Spring Harbor, N.Y.) · 2016Article
- Is realistic neuronal modeling realistic?Journal of neurophysiology · 2016Review
- Reproducibility in Computational Neuroscience Models and Simulations.IEEE transactions on bio-medical engineering · 2016Article
- Article
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.
Funding
Abstract
ModelDB ( modeldb.yale.edu ), a searchable repository of source code of more than 950 published computational neuroscience models, seeks to promote model reuse and reproducibility. Code sharing is a first step; however, model source code is often large and not easily understood. To aid users, we have developed ModelView, a web application for ModelDB that presents a graphical view of model structure augmented with contextual information for NEURON and NEURON-runnable (e.g. NeuroML, PyNN) models. Web presentation provides a rich, simulator-independent environment for interacting with graphs. The necessary data is generated by combining manual curation, text-mining the source code, querying ModelDB, and simulator introspection. Key features of the user interface along with the data analysis, storage, and visualization algorithms are explained. With this tool, researchers can examine and assess the structure of hundreds of models in ModelDB in a standardized presentation without installing any software, downloading the model, or reading model source code.
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.