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arXiv · 0811.4306

Evolution of network structure by temporal learning

Juergen Jost·Kiran M. Kolwankar
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Abstract

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.

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Juergen Jost, Kiran M. Kolwankar. 2008-11-26. Evolution of network structure by temporal learning. https://doi.org/10.1016/j.physa.2008.12.073

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