A simple method for designing efficient small-world neural networks

Neural Networks : the Official Journal of the International Neural Network Society
Pengsheng ZhengJianxiong Zhang

Abstract

Small-world neural networks, as well as diluted Hopfield networks, are constructed by using matrix decomposition and a connection elimination strategy. It is shown that, to a certain extent, eliminating the unimportant synaptic couplings does not degrade the network performance. Numerical simulations give strong evidence that the small-world and diluted neural networks, by consuming a small fraction of connections, can perform as well as full-connected ones. The proposed method is simple but efficient and also potentially significant for the applications of neural circuits.

References

Aug 8, 1986·Science·J J Hopfield, D W Tank
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Nov 12, 1986·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·J G WhiteS Brenner

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Citations

Apr 24, 2010·Biological cybernetics·Pengsheng ZhengWansheng Tang

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