Newsflash

6 July 2015

MOOSE supports NeuroML, Genesis .p, and SWC file formats for neuronal morphology definitions, into which spine and channel distributions can be inserted to make active neuronal models.
 
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 BioModels.net and DOQCS. MOOSE also supports electrical models specified in NeuroML and Genesis .p formats, and can load over 30,000 morphology files from NeuroMorpho.org (.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

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

Last check-in:

2015-07-07 10:41:30 +0530

Description: nsdf: updated demo.

Author: subha_

Revision: 6917

History
 
Building blocks
MOOSE can load several kinds of neuronal morphology definitions, including NeuroML, Genesis .p, and SWC file formats. This gives access to well over 30,000 morphology files, mostly at NeuroMorpho.org but also at ModelDB and OpenSourceBrain.
Using high-level definitions of channel distributions, MOOSE can convert these into active neuronal models in just a few lines.

insertSpines

 
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