A Brief History of NeuroML

The concept of NeuroML was first introduced in an article by Goddard et al. (2001), following meetings at the University of Edinburgh where initial templates for the model description language structures were discussed. The proposal extended general purpose structures for neuroscience data proposed by Gardner et al. (2001).

At that time, the design principles for NeuroML were closely linked with a specific software architecture in which a base application loads a range of plugins to handle different aspects of a simulation experiment. The simulation platform Neosim provided an implementation of this approach (Howell et al. 2003), and early NeuroML development was closely aligned to this architechture. Fred Howell and Robert Cannon developed a software library, the NeuroML Development Kit (NDK), to simplify the process of working with XML serializations of models. This library implemented a particular dialect of XML but did not define particular structures at the model description level. Instead, Neosim plugin developers were free to develop their own structures and serialize them via the NDK, in the hope that some consensus would emerge around the most useful ones. In practice, few developers beyond the Edinburgh group developed or used such structures and the resulting XML was too application specific to gain wider adoption. The Neosim project was completed in 2005.

Based on discussions with Howell and Cannon about the need to develop a consensus for describing widely used model components, Sharon Crook worked with the neuroanatomy community on a language for describing neuronal morphologies in XML, MorphML (Qi and Crook 2004). At the same time, Padraig Gleeson working with Angus Silver was developing neuroConstruct for generating neuronal simulations for the NEURON and GENESIS simulators (Gleeson et al. 2007), which had its own internal simulator independent representation for morphologies, channel and networks. It was agreed that these efforts should be merged under the banner of NeuroML, and the current structure of NeuroML was created. A modular approach containing MorphML, ChannelML and NetworkML was adopted to allow application developers to support only those parts of the language needed by their application (Crook et al. 2007, Gleeson et al. 2010). XML schema files for this version of the standard have been available since 2006.

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