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  • Title: Synchrony and clustering in heterogeneous networks with global coupling and parameter dispersion.
    Author: Assisi CG, Jirsa VK, Kelso JA.
    Journal: Phys Rev Lett; 2005 Jan 14; 94(1):018106. PubMed ID: 15698140.
    Abstract:
    Networks with nonidentical nodes and global coupling may display a large variety of dynamic behaviors, such as phase clustered solutions, synchrony, and oscillator death. The network dynamics is a function of the parameter dispersion and may be captured by conventional mean field approaches if it is close to the completely synchronous state. In this Letter we introduce a novel method based on a mode decomposition in the parameter space, which provides a low-dimensional network description for more complex dynamic behaviors and captures the mean field approach as a special case. The example of globally coupled Fitzhugh-Nagumo neurons is discussed.
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