NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA- enabled GPUs. With high-end NVIDIA graphics cards, NeMo can achieve real-time simulation of 500.000s of realistically connected spiking neurons. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
If you are a new user of NeMo please consider sending a short email to the author with a brief description of who you are and what you use it for. This would be greatly useful in justifying continued funding of the project.
See INSTALL for build instructions and COPYING for licence information.
Additional documentation can be found on the project website
http://nemosim.sf.netPlease use the 'help' forum, bug tracker, and feature request trackers found here:
http://sourceforge.net/projects/nemosim/Update announcements and other information for users can be found on the mailing list. Sign up to the list at
https://lists.sourceforge.net/lists/listinfo/nemosim-userNeMo was originally written by Andreas K. Fidjeland and it is now maintained by the Computational Neurodynamics group, of Imperial College London.