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Small-world structure induced by spike-timing-dependent plasticity in networks with critical dynamics

Victor Hernandez-Urbina,J. Herrmann

Published 2015 in arXiv: Adaptation and Self-Organizing Systems

ABSTRACT

The small-world property in the context of complex networks implies structural benefits to the processes taking place within a network, such as optimal information transmission and robustness. In this paper, we study a model network of integrate-and-fire neurons that are subject to activity-dependent synaptic plasticity. We find the learning rule that gives rise to a small-world structure when the collective dynamics of the system reaches a critical state which is characterised by power-law distributions of activity clusters. Moreover, by analysing the motif profile of the networks, we observe that bidirectional connectivity is impaired by the effects of this type of plasticity.

PUBLICATION RECORD

  • Publication year

    2015

  • Venue

    arXiv: Adaptation and Self-Organizing Systems

  • Publication date

    2015-07-28

  • Fields of study

    Biology, Physics, Computer Science

  • Identifiers
    arXiv 1507.07879
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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