ArticleNeuroinformatics2014
A neuroinformatics of brain modeling and its implementation in the Brain Operation Database BODB.
Article in Neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Two views on the cognitive brain.Nature reviews. Neuroscience · 2021Review
- From spatial navigation via visual construction to episodic memory and imagination.Biological cybernetics · 2020Review
- PaperBot: open-source web-based search and metadata organization of scientific literature.BMC bioinformatics · 2019Article
- Information processing in the mirror neuron system in primates and machines.Neuroinformatics · 2014Article
- Template construction grammar: from visual scene description to language comprehension and agrammatism.Neuroinformatics · 2014Article
- An informatics approach to integrating genetic and neurological data in speech and language neuroscience.Neuroinformatics · 2014Article
- Action and language mechanisms in the brain: data, models and neuroinformatics.Neuroinformatics · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present principles for an integrated neuroinformatics framework which makes explicit how models are grounded on empirical evidence, explain (or not) existing empirical results and make testable predictions. The new ontological framework makes explicit how models bring together structural, functional, and related empirical observations. We emphasize schematics of the model’s operation linked to summaries of empirical data (SEDs) used in both the design and testing of the model, with tests comparing SEDs to summaries of simulation results (SSRs) from the model. We stress the importance of protocols for models as well as experiments. We complement the structural ontology of nested brain structures with a functional ontology of Brain Operating Principles (BOPs) for observed neural function and an ontological framework for grounding models in empirical data. We present an implementation of this ontological framework in the Brain Operation Database (BODB), an environment in which modelers and experimentalists can work together by making use of their shared empirical data, models and expertise.
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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.