NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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NeMo v@NEMO_VERSION@ @NEMO_DESCRIPTION@ 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.net Please 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-user NeMo is written by Andreas K. Fidjeland <andreas.fidjeland@imperial.ac.uk> Imperial College London Department of Computing 180 Queen's Gate London SW7 2AZ August 2011
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NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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