10 August 2015
Due to recent storage issue with the, we have decided to move to github.
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:

2015-07-28 23:22:48 +0530

Description: some more cleanup with Bufpool with reading and writing to SBML, constant/boundingcondition=true if pool is playing as s/p and constant=f and bc=t if pool has assignment/rate rule

Author: hrani

Revision: 6970

Building blocks
We moved our project to github.
All of the development, update will happen on git hub only.

1. moose-core : it keeps the C++ and python binding

2. moose-gui : will have all the python gui code

3. moose-examples : Snipppets and examples

To clone use

git clone --recursive

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Copyright (C) NCBS/TIFR 2007-2015 Moose