We announce the release of MOOSE 3.0.0 "Kheer Kadam" Websites: http://moose.ncbs.res.in, http://sourceforge.net/projects/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. There are several big changes in 3.0.0:: - Major feature developments for multiscaling, including deterministic reaction-diffusion calculations, a substantial set of classes for Leaky Integrate-and-Fire neuronal networks, and abstract plastic synapses. - Extensive example-based documentation in a new MOOSE Cookbook. - An entirely new and faster messaging system. - An evolution of the Python interface to use object arrays. - Automatic scheduling of all objects upon creation. This release also has a reworked version of the GUI, which is currently in alpha but can be used to run and build kinetic models. About the name: Kheer Kadam is a sweet from Bengal. It has a soft white, dry and sometimes powdery outer layer with a pink or white spongy interior soaked in syrup. Try one! Upi Bhalla will give a talk on MOOSE at the Neuroscience Gateway Workshop at SfN 2014 on Saturday, Nov. 15, 2014. See http://www.nsgportal.org/workshop.html With best regards, The MOOSE team: Subhasis Ray, Harsha Rani, Aditya Gilra, Aviral Goel, Dilawar Singh, Upi Bhalla