Synchronization, multistability and clustering: How useful are predictions from phase models?
© Campbell and Chadwick; licensee BioMed Central Ltd. 2007
Published: 6 July 2007
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.
This article is published under license to BioMed Central Ltd.