2015/07/28 by Victor Hernandez-Urbina, Hernandez-Urbina, Victor, J. Michael Herrmann +1
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #FOS: Biological sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC) #nlin.AO #q-bio.NC
paper · pdf · doi:10.48550/arxiv.1507.07879
arxiv created 2015/07/28 · arxiv updated 2015/08/02
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.