Skip to main content

Python utilities for NeuroML

Project description

pyNeuroML

A single package in Python unifying scripts and modules for reading, writing, simulating and analysing NeuroML2/LEMS models.

Builds on: libNeuroML & PyLEMS and wraps functionality from jNeuroML.

Installation

Pip

pyNeuroML can be installed with pip:

sudo pip install pyneuroml

You may need to install lxml on Linux with:

sudo apt-get install python-lxml

Installation from source

Clone the repository:

git clone https://github.com/NeuroML/pyNeuroML.git
cd pyNeuroML

It should be possible to install pyNeuroML using just:

sudo pip install .

You may have to install lxml and the development version of libNeuroML manually:

apt-get install python-lxml
cd ..
git clone https://github.com/NeuralEnsemble/libNeuroML.git
cd libNeuroML
git checkout development
sudo python setup.py install

Current/planned features

1) Single Python package for NeuroML2/LEMS

One Python package which can be installed using pip & a user has everything they need to work with NeuroML2/LEMS files:

  • libNeuroML
  • PyLEMS
  • A bundled version of jNeuroML which can be used to run simulations

2) Run models using jNeuroML or PyLEMS

Ability to run NeuroML2/LEMS models using jLEMS/jNeuroML (with bundled jar) or PyLEMS (todo...)

Uses similar command line interface to jNeuroML, i.e. based on jnml

Try:

pynml -h

to list current options.

3) Access to export & import options of jNeuroML

All export & import options of jNeuroML available through easy command line interface (see here for progress) & through Python methods.

Example of export of NeuroML2/LEMS to NEURON and execution of generated code using single method is here.

4) Helper Python scripts

Lots of helper scripts for commonly used functions, e.g. generating a firing frequency vs injected current plot, generating a LEMS file for use with a NeuroML2 file,

5) Analysis of ion channels

Generation of plots of activation rates for ion channels from NeuroML2 channel file (example):

pynml-channelanalysis NaConductance.channel.nml

Generation of plots of activation rates for ion channels from NEURON mod file (example):

pynml-modchananalysis NaConductance -modFile NaConductance.mod

See here for more.

6) Home for existing functionality distributed in various places

Incorporate ChannelML2NeuroML2beta.xsl for updating ChannelML (coming soon...)

7) NEURON to NeuroML2

Scripts for converting NEURON to NeuroML2

  • Export morphologies (plus channels, soon). See here.

  • mod files - make best guess at initial NeuroML2 form (todo)

8) Export of images/movies from cell/networks

Files can be generated for POV-Ray which can be used to generate high resolution images and even sequences of images for creating movies. try:

pynml-povray -h

9) Tuning cell models in NeuroML 2

Builds on Neurotune and pyelectro. See here for example.

9) Planned functionality

Built in viewer of cells in 3D? Mayavi? More closely tied to PyNN?

Build Status

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyNeuroML-0.5.8.tar.gz (27.7 MB view details)

Uploaded Source

Built Distribution

pyNeuroML-0.5.8-py3-none-any.whl (27.7 MB view details)

Uploaded Python 3

File details

Details for the file pyNeuroML-0.5.8.tar.gz.

File metadata

  • Download URL: pyNeuroML-0.5.8.tar.gz
  • Upload date:
  • Size: 27.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.7

File hashes

Hashes for pyNeuroML-0.5.8.tar.gz
Algorithm Hash digest
SHA256 408ff810644650ad584f7204608787d6421c4c739912b919ef2cd262abd44b51
MD5 14209212915792ab089002d4a9f82a5c
BLAKE2b-256 1719b5b8970b944d48a93118237f39ee625dbf31ef3e5b5c7df6e864625312f5

See more details on using hashes here.

File details

Details for the file pyNeuroML-0.5.8-py3-none-any.whl.

File metadata

  • Download URL: pyNeuroML-0.5.8-py3-none-any.whl
  • Upload date:
  • Size: 27.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.7

File hashes

Hashes for pyNeuroML-0.5.8-py3-none-any.whl
Algorithm Hash digest
SHA256 8f8a7baa1a7ec1baedd20ae1a61eadb90cb3238cec6530772986f663bd96c1aa
MD5 b7514eb23a1e5aeeb8c751322ab3b2f4
BLAKE2b-256 c5bde9d0be86ff0b2cb12ac9b549aab5c065fd89f558658d774db8ff6bb2cf25

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page