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 3.0.2pre, Ghevar
The Ghevar release is the third of series 3 of MOOSE releases.
Ghevar is a Rajasthani sweet with a stiff porous body soaked in sugar syrup.
MOOSE 3.0.2 is an evolutionary increment over 3.0.1:
- There has been substantial development on the multiscale modeling
front, with
the implementation of the rdesigneur class and affiliated features.
- Distributions of spines, channels, physiological parameters, chemical
concentrations along the cell can be specified using algebraic
functions of geometrical properties of the cell.
- MOOSE can now read NeuroMorpho .swc files natively.
- MOOSE can now write natively to the Neuronal Simulation Data Format.
The NSDF is based on HDF5 and is a portable and
self-descriptive way
to store simulation output.
Source code
The MOOSE project uses git for version control.
The repository is hosted at
Github.com.
This should be your source for the latest version of the code.
Last check-in:
Moose-core2015-11-03 20:29:27 +0530 Description: Added Doxyfile and other files to documentation folder Author: aviralg Revision: 13a5b476169001bbbac3136a9a724b5e085a136c
Moose-Gui2015-11-05 00:46:37 +0530 Description:replaced biomodel client as its not a problem with pakaging Author: HarshaRani Revision: 1e916785886ab26e951ee5e3901226d4c6d37d98
Moose-examples2015-11-01 12:37:02 +0530 Description: Demo now reports current simulation time as it progresses. Author: Upi bhalla Revision: 4c6ab9a0a93d1bd45422b764f07fee1975a065e1
Building blocks
Moose can read NeuroML and SWC files
This LIF network with Ca plasticity is based on:
David Higgins, Michael Graupner, Nicolas Brunel Memory Maintenance in Synapses with Calcium-Based Plasticity in the Presence of Background Activity PLOS Computational Biology, 2014
