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This article is part of the supplement: Sixteenth Annual Computational Neuroscience Meeting: CNS*2007

Open Access Poster presentation

Synchronization, multistability and clustering: How useful are predictions from phase models?

Sue Ann Campbell* and Jeff Chadwick

Author Affiliations

Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada

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BMC Neuroscience 2007, 8(Suppl 2):P46  doi:10.1186/1471-2202-8-S2-P46

The electronic version of this article is the complete one and can be found online at:

Published:6 July 2007

© 2007 Campbell and Chadwick; licensee BioMed Central Ltd.

Poster presentation

We consider a model of a network of hippocampal interneurons based on the work of Wang and Buzsaki. We construct a phase model representation of the network, and show that this model can give reasonably accurate quantitative information, such as the size of basins of attraction and the maximum heterogeneity permissible in the inherent frequencies of the neurons before synchrony is lost. We show that predictions of existence and stability of the synchronous solution from a two cell network carry over to N-cell networks, either exactly or in the limit of large N.