14 September 2015
From moose, model can be saved to Genesis format
Welcome to Moose
MOOSE is the Multiscale Object-Oriented Simulation Environment.
It is designed to simulate neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, circuits, and large networks. MOOSE can operate at many levels of detail, from stochastic chemical computations, to multicompartment single-neuron models, to spiking neuron network models.

MOOSE is a simulation environment, not just a numerical engine. It provides the essentials by way of object-oriented representations of model concepts and fast numerical solvers, but its scope is much broader.
It has a scripting interface with Python, graphical displays with Matplotlib, PyQt, and OpenGL, and support for many model formats.

MOOSE can read kinetic models in SBML and GENESIS kkit formats, from and DOQCS. MOOSE also supports electrical models specified in NeuroML and Genesis .p formats, and can load over 30,000 morphology files from (.swc format).

About MOOSE version 3.0.1, Gulab Jamun

The Gulab Jamun release is the second of a new series of MOOSE releases.

Gulab Jamun is a classic North Indian sweet consisting of deep brown spheres involving milk solids, cardamom and other spices, floating in a rich syrup. Try one!

MOOSE 3.0.1 is an evolutionary increment over 3.0.0:

  •    - Multiscale modeling updates including better cross-compartment reactions, including stochasticity.
  •    - General robustness and error reporting improvements for solvers.
  •    - HSolver updates to handle NMDA and derived classes of channels with Ca currents.
  •    - Better release packaging

The MOOSE project uses Subversion for version control. The repository is hosted at This should be your source for the latest version of the code.

Last check-in:

2015-08-11 05:18:47 +0530
Description: cleanup in plot
Author: HarshaRani
Revision: 5d4d6967909e37ca97afc88096fed158d5d6f90e

Moose-Gui 2015-08-15 04:21:29 +0530
Description: solver's are cleanup, spell correction, solvers are set from one place i.e from plugin/setsolver file, duplicate lines are cleanedup and one function is written for checking the modelpath and providing the same while loadModel which will be helpfull in setting the stoich.path else (for the first time) else one needed to delete the solver and set or load using ee.
Author: HarshaRani
Revision: 3f3b849a00b07319ff107392b15025a994fe6d5d

Moose-examples 2015-08-09 03:38:39 +0530
Description: folder name is changed from Genesis_files to genesis.
Author: HarshaRani
Revision: a38e8ce2e6da789e9910154a18e6a0cbacc9e645
Building blocks
Moose can read NeuroML and SWC files
Using the script from 'snippets' folder, any neuronal morphology can be loaded.
Shown here is the rat CA1 pyramidal neuron.
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