Abstract:

As the most important part of human, brain is very complex. Because of the advantage to treat the disease of brain and understand the intelligence of humans, a new subject has emerged, i.e. the simulation of neural networks, which is a field that is very different to the traditional neural network algorithms. It is an interdisciplinary of informatics, biology, computer science and simulation. In this paper, the principle of the simulation of neural networks is introduced; open source toolboxes and relative projects are  listed for the purpose to facilitate the user to choose suitable tools for his modeling work. The complexity is computed and the future of parallel simulation of neural networks is discussed based on the Tianhe1A supercomputer.

Key words: simulation;neural networks;computing complexity