NeuroML
NeuroML is an international, collaborative initiative to develop a language for describing detailed models of neural systems, which will serve as a standard data format for defining and exchanging descriptions of neuronal cell and network models. NeuroML is:
- modular
- standardised
- structured
and this allows you to:
- easily build detailed models of neural systems
- easily validate your models
- easily visualise your models
- easily simulate your models using a variety of simulators
- easily analyse your simulations
all using a well supported set of tools in the powerful Python programming language.
For an overview of the core NeuroML repositories and the status of tests on these see here.
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Repositories
- NeuroMLlite Public
Work towards creating a common JSON based format for compact network specification
- pyNeuroML Public
A single package in Python unifying scripts and modules for reading, writing, simulating and analysing NeuroML2/LEMS models.
- NeuroML2 Public
This repository hosts the NeuroML 2 Schema, the ComponentType definitions in LEMS and the core documentation of NeuroML2.
- org.neuroml.model.injectingplugin Public
NeuroML JAXB plug-in to inject code during code generation from schema
- eden Public Forked from spanag/eden
Read-only mirror code repository for the EDEN neural simulator, on Github. ❗Please go to the main repo for issues, pull requests, and other interaction: https://gitlab.com/neurocomputing-lab/Inferior_OliveEMC/eden
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