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

ready Neural Open Markup Language

Abbreviation: 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; Neural Open Markup Language; DOI:; Last edited: Nov. 23, 2018, 11:27 a.m.; Last accessed: Dec 11 2018 4:54 a.m.

This record is maintained by pgleeson  ORCID

Record updated: March 15, 2018, 11:04 a.m. by The FAIRsharing Team.

Show edit history


Access / Retrieve Data

Conditions of Use

Applies to: Data use


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

PLoS Comput. Biol. 2010

View Paper (PubMed)

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

Frontiers in Neuroinformatics 2014

View Paper (PubMed)

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

View Paper (PubMed) View Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

Identifier Schemas

No identifier schema standards defined

Implementing Databases (1)
Open Source Brain
Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.

Implementing Policies

This record is not implemented by any policy.


Record Maintainer



Grant Number(s)

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

  • 086699 (Wellcome Trust, UK)

  • G0400598 (Medical Research Council)