26 June 2015

CAMP@Bangalore begins: the short course on Computation Approaches to Memory and Plasticity. MOOSE tutorials updated to support course.
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:

2015-07-01 12:23:29 +0530

Description: Added python run time dependencies, for installation via python package index through pip.

Author: aviralg

Revision: 6907

Building blocks
The CAMP@Bangalore course looks at many scales of plasticity in the brain.
MOOSE is extensively used to illustrate different forms of multiscale computation. MOOSE has a large number of examples on how to utilize its features, in Demos/snippets and some more structured tutorials in Demos/tutorials and Demos/squid.


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