Giter Site home page Giter Site logo

pylems's Introduction

PyLEMS

A LEMS (http://lems.github.io/LEMS) simulator written in Python which can be used to run NeuroML2 (http://neuroml.org/neuroml2.php) models.

For more about PyLEMS 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 PYLEMS!

For more details on LEMS see:

Robert C. Cannon, Padraig Gleeson, Sharon Crook, Gautham Ganapathy, Boris Marin, Eugenio Piasini and R. Angus Silver, LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2, Frontiers in Neuroinformatics 2014, doi: 10.3389/fninf.2014.00079

Installation

A stable version of PyLEMS is available on PyPI using pip:

pip install pylems

To install as root:

sudo pip install pylems

Alternatively, you can obtain the latest version with

git clone https://github.com/LEMS/pylems.git
cd pylems 
git checkout development   # optional
sudo python setup.py install

Usage as a LEMS model simulator

pylems [options] LEMS_file

Options

  • -I/-include path - Adds a directory to the model file include search path

Examples

NeuroML examples (from https://github.com/NeuroML/NeuroML2/tree/development/NeuroML2CoreTypes)

  • Example 0 -- Working
  • Example 1 -- Working
  • Example 2 -- Working
  • Example 3 -- Working
  • Example 4 -- Not working (Unsupported in PyLEMS: KSChannel)
  • Example 5 -- Working
  • Example 6 -- Working
  • Example 7 -- Working
  • Example 8 -- Working
  • Example 9 -- Working
  • Example 10 -- Working
  • Example 11 -- Working
  • Example 12 -- Not working (Unsupported in PyLEMS: Property)
  • Example 13 -- Working
  • Example 14 -- Not working (Unsupported in PyLEMS: Property)
  • Example 15 -- Working
  • Example 16 -- Working (apart from spikeArray)
  • Example 17 -- Working
  • Example 18 -- Working

LEMS examples (in directory examples)

  • example1.xml -- Working
  • example2.xml -- Working
  • example3.xml -- Working
  • example4.xml -- Not working (Unsupported in PyLEMS: KSChannel)
  • example5.xml -- Not working (Unsupported in PyLEMS: KSChannel)
  • example6.xml -- Working -- TODO: Rest of examples require an update to the <Simulation> element, i.e. use <Simulation...> not <SimulationSet...>, to work in PyLEMS

LEMS elements that do not work

  • KSChannel
  • Property
  • XPath based parameters - PathParameter
  • Assertions

Tasks TODO

  • Implement flattening
  • Decouple events from runnables
  • Improve dimension-checking on expressions.

Travis integration

pylems is integrated with the the Travis Continuous Integration service.

Build Status

This code is distributed under the terms of the GNU Lesser General Public License.

pylems's People

Contributors

lisphacker avatar pgleeson avatar borismarin avatar dokato avatar rgerkin avatar wvangeit avatar

Watchers

James Cloos avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.