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The influence of network structure on neuronal network dynamics

BMC Neuroscience201213(Suppl 1):P79

Published: 16 July 2012


Animal ModelCrucial RoleNetwork ModelNetwork StructureOrder Statistic
We investigate the influence of network structure on the dynamics of neuronal networks, with a focus on the emergence of synchronous oscillations. Network structure is specified using the framework of second order networks, a network model that captures second order statistics (correlations) among the connections between neurons. We demonstrate that the frequency of a chain motif in the network plays a crucial role in influencing network dynamics, not only modulating the emergence of synchrony but also possibly increasing the range of possible network behaviors.
Figure 1
Figure 1

The four second order edge motifs of reciprocal, convergent, divergent, and causal connections. The frequency of these motifs determine the second order statistics, or correlations, among the network connections.

Authors’ Affiliations

School of Mathematics, University of Minnesota, Minneapolis, USA


© Nykamp; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.