Abstract
The purpose of this document is to solicit community feedback on NeuroML, a model description language for computational neuroscience, which was submitted to INCF for endorsement as a standard. The document contains the INCF standards and best practices committee's review of NeuroML, and the criteria in which it was evaluated (open, FAIR, testing and implementation, governance, adoption and use, stability and support, and comparison to similar standards). For the next 60 days, we are seeking community feedback on NeuroML. About NeuroML: the modelling language is built on the LEMS (Low Entropy Model Specification) language, which allows machine readable definitions of the cell, channel and synapse models which form the core of the language. This increases transparency of model structure and dynamics and facilitates automatic mapping of the models to multiple simulation formats. Software libraries for reading, writing and running simulations using the languages are under active development in Java and Python
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