- Dynamic selection of legacy vs modern units using HOC/Python API (default : modern)
- Faster reaction-diffusion support
- Initial GPU support using integration of CoreNEURON
- Binary installer for new Apple M1 platform
- Binary wheel distribution for Python 3.9 and Python 2.7
- Release of NMODL version 0.3 (available as python wheel)
- Versioned documentation available via nrn.readthedocs.io
- CMake as a primary build system for NEURON and Interviews
h.Sectionnow interprets positional arguments as
cell. Previously positional arguments were interpreted in the other order. (Calling it with keyword arguments is unchanged.)
- For 3d reaction-diffusion simulations, the voxelization and segment mapping algorithms have been adjusted, especially around the soma. Voxel indices and sometimes counts will change from previous versions.
- Five functions in the
- Autotools build is deprecated and will be removed in the next release. Use CMake instead.
- Python 2 and Python 3.5 support is deprecated and will be removed in the next release. Use
Python >= 3.6
For the complete list of bug fixes, see the list on the GitHub here.
Improvements / Other Changes
- Allow for two point (single section) SWC somas
- GitHub Actions and Azure as primary CI systems. Travis CI removed.
- GitHub Releases provides full source tarballs, binary installers and python wheels.
- Improved testing and CI infrastructure including GPUs
- nrn-build-ci repository test nightly builds for Ubuntu 18.04, Ubuntu 20.04, Fedora 32, Fedora 33, CentOS7, CentOS8, Debian Buster (10) and macOS 10.15 platforms.
- Improved integration of CoreNEURON
- Support for recent numpy version
- Various build improvements on Linux, MacOS and HPC platforms
- Documentation from various repositories is consolidated under
- New releases via Spack and Easybuild package managers
- Fix deadlock when compiling NEURON with AVX-512
- Add backward-cpp for better backtraces
- NEURON_MODULE_OPTIONS environment variable to pass in nrniv options before
Existing models should work without any changes. In order to upgrade NEURON version you can:
- Use python wheels provided for Linux or Mac OS platform
- Use binary installer provided for windows
- Install from source, preferably using CMake build system
- For new version, it's always a good idea to start over from scratch with nrnivmodl (deleting existing directory like
Installation section under nrn.readthedocs.io/. In the very rare case that numerical differences exist, check selection of legacy vs modern units.
See the list of contributors on respective GitHub projects:
- NEURON : https://github.com/neuronsimulator/nrn/graphs/contributors
- CoreNEURON : https://github.com/BlueBrain/CoreNeuron/graphs/contributors
- NMODL : https://github.com/BlueBrain/nmodl/graphs/contributors
Feedback / Help
- Software related issues should be reported on the GitHub : https://github.com/neuronsimulator/nrn/issues/new/choose
- For developing models and any scientific questions, see NEURON forum : https://www.neuron.yale.edu/phpBB/
- If you want to participate / contribute to the development of NEURON, you can join monthly developers meeting : https://github.com/neuronsimulator/nrn/wiki