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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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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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