standards > model/format > DOI:10.25504/FAIRsharing.pwvtn5
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ready NeuroML

General Information
NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.

How to cite this record NeuroML; NeuroML; DOI:; Last edited: April 16, 2021, 3:01 p.m.; Last accessed: Jan 29 2022 12:29 p.m.

This record is maintained by pgleeson  ORCID

Record updated: April 16, 2021, 2:56 p.m. by The FAIRsharing Team.

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Access / Retrieve Data

Conditions of Use

Applies to: Data use


LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2.

Cannon RC,Gleeson P,Crook S,Ganapathy G,Marin B,Piasini E,Silver RA
Front Neuroinform 2014

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Towards NeuroML: model description methods for collaborative modelling in neuroscience.

Goddard NH,Hucka M,Howell F,Cornelis H,Shankar K,Beeman D
Philos Trans R Soc Lond B Biol Sci 2001

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NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

Gleeson P,Crook S,Cannon RC,Hines ML,Billings GO,Farinella M,Morse TM,Davison AP,Ray S,Bhalla US,Barnes SR,Dimitrova YD,Silver RA
PLoS Comput Biol 2010

View Paper (PubMed) View Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Identifier Schemas

No identifier schema standards defined


No metrics standards defined

Related Databases (2)
Open Source Brain
Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.

EBRAINS is a platform for sharing brain research data ranging in type as well as spatial and temporal scale. The EBRAINS data curation service aims to provide maximum impact, visibility, reusability, and longevity. The user interface of the EBRAINS Knowledge Graph allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.

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Record Maintainer



Grant Number(s)

  • 005490 (Biotechnology and Biological Sciences Research Council (BBSRC), UK)

  • 086699 (The Wellcome Trust, UK)

  • G0400598 (Medical Research Council (MRC), London, UK)