Introduction

This package provides Python libNeuroML, for working with neuronal models specified in NeuroML 2.

For more about libNeuroML see:

Michael Vella, Robert C. Cannon, Sharon Crook, Andrew P. Davison, Gautham Ganapathy, Hugh P. C. Robinson, R. Angus Silver and Padraig Gleeson, libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience Frontiers in Neuroinformatics 2014, doi: 10.3389/fninf.2014.00038

PLEASE CITE THE PAPER ABOVE IF YOU USE libNeuroML!

Documentation is available at http://readthedocs.org/docs/libneuroml/en/latest/

For installation instructions, see http://readthedocs.org/docs/libneuroml/en/latest/install.html

For an overview of all NeuroML related libraries/documentation/publications see https://neuroml.org/getneuroml.

pyNeuroML

A related package, pyNeuroML builds on this and provides functionality, scripts and modules for reading, writing, simulating and analysing NeuroML2/LEMS models.

pyNeuroML builds on: libNeuroML & PyLEMS and wraps functionality from jNeuroML.

Development process for libNeuroML

Most of the work happens in the development branch. That branch is kept up to date with the development branches for NeuroML 2 and related libraries. See https://neuroml.org/getneuroml for an overview of the various NeuroML libraries.

Changelog

version 0.2.50

• Updated to use the final stable Schema for NeuroML v2.0

version 0.2.47

• Updated to use the final stable Schema for NeuroML v2beta5

version 0.2.18

• Updated to use the final stable Schema for NeuroML v2beta4
• Tested with Python 3

version 0.2.4

• Updated to use the Schema for NeuroML v2beta4

version 0.2.2

• Updated to use the Schema for NeuroML v2beta3
• Ensures numpy & pytables are only required when using non-XML loaders/writers

version 0.2.0

• Updated to use the Schema for NeuroML v2beta2

version 0.1.9

• Minor release: Update to latest schema

version 0.1.8

• Several Bug fixes and small enhamcements
• Support for latest NeuroML schema (see change outline)
• JSON serialization
• MongoDB backend
• HDF5 serialization
• Improved installation process
• All usage examples are now run on the Travis-CI continuous integration server to confirm that that they do not error.
• Schema validation utility
• Improved documentation and documentation new look

©️ Copyright 2020 by the libNeuroML team, see AUTHORS. Modified BSD License, see LICENSE for details.