NeMo

NeMo is a spiking neural network simulator aimed at real-time simulation of 100 000s of realistically connected spiking neurons.

Software

Software development is carried out on the NeMo SourceForge page, where source packages, binary packages, the git repository, documentation, and the issue tracker can be found

People

Theis project is carried out at Imperial College London's Department of Computing in the Cognitive Robotics and Custom Computing groups.

The following people are, or have been, involved with the project:

• Murray Shanahan (Principal Investigator)
• Wayne Luk (Co-investigator)
• Andreas Fidjeland
• David Gamez
• David Thomas
• Mark Wildie
• Alexandros Bouganis
• Etienne Roesch

This project is funded by the EPSRC through grant EP/F033516/1

Publications

[1]	A. K. Fidjeland and M. P. Shanahan. Accelerated simulation of spiking neural networks using gpus. In Proc. IEEE International Joint Conference on Neural Networks, July 2010. [ bib | .pdf ]
[2]	A. K. Fidjeland, E. B. Roesch, M. P. Shanahan, and W. Luk. NeMo: A platform for neural modelling of spiking neurons using GPUs. In Proc. 20th IEEE International Conference on Application-specific Systems, Architectures and Processors, 2009. [ bib | .pdf | Abstract ]
[3]	David B Thomas and Wayne Luk. FPGA accelerated simulation of biologically plausible spiking neural networks. In Proc. IEEE Symp. Field-Programmable Custom Computing Machines (FCCM), April 5-7 2009. [ bib | .pdf | Abstract ]
[4]	M. Wildie, W. Luk, S. Schultz, P.H.W Leong, and A. K. Fidjeland. Reconfigurable acceleration of neural models with gap junctions. In Proc. International Conference on Field-Programmable Technology, 2009. [ bib | .pdf ]

Last modified: Sun Apr 17 23:09:27 BST 2011