Stability of a neural network model with small-world connections

Details Stability of a neural network model with small-world connections Stability of a neural network model with small-world connections

2004-10-19

arxiv.org/abs/cond-mat/0410492v1

Physical Review E, Vol. 68, 052901, 2003

Physics

Condensed Matter

Disordered Systems and Neural Networks

4 pages, 3 figures

Scientific paper

10.1103/PhysRevE.68.052901

Small-world networks are highly clustered networks with small distances among the nodes. There are many biological neural networks that present this kind of connections. There are no special weightings in the connections of most existing small-world network models. However, this kind of simply-connected models cannot characterize biological neural networks, in which there are different weights in synaptic connections. In this paper, we present a neural network model with weighted small-world connections, and further investigate the stability of this model.

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