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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).

For more information visit MOOSE home page: http://moose.ncbs.res.in. 

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