%0 Journal Article
%T Evolution of network structure by temporal learning
%A Juergen Jost
%A Kiran M. Kolwankar
%J Quantitative Biology
%D 2008
%I arXiv
%R 10.1016/j.physa.2008.12.073
%X We study the effect of learning dynamics on network topology. A network of discrete dynamical systems is considered for this purpose and the coupling strengths are made to evolve according to a temporal learning rule that is based on the paradigm of spike-time-dependent plasticity. This incorporates necessary competition between different edges. The final network we obtain is robust and has a broad degree distribution.
%U http://arxiv.org/abs/0811.4306v1