All Title Author
Keywords Abstract


Performance of networks of artificial neurons: The role of clustering

DOI: 10.1103/PhysRevE.69.045101

Full-Text   Cite this paper   Add to My Lib

Abstract:

The performance of the Hopfield neural network model is numerically studied on various complex networks, such as the Watts-Strogatz network, the Barab{\'a}si-Albert network, and the neuronal network of the C. elegans. Through the use of a systematic way of controlling the clustering coefficient, with the degree of each neuron kept unchanged, we find that the networks with the lower clustering exhibit much better performance. The results are discussed in the practical viewpoint of application, and the biological implications are also suggested.

Full-Text

comments powered by Disqus