Evolution of network structure by temporal learning

Jürgen Jost and Kiran M. Kolwankar

Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 9, 1959-1966

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.

Keywords: Coupled maps; Scale-free network; Hebbian learning; Logistic map; Synchronization (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:388:y:2009:i:9:p:1959-1966

DOI: 10.1016/j.physa.2008.12.073

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