arXiv:0805.2695 [math.DS]AbstractReferencesReviewsResources
Contractive piecewise continuous maps modeling networks of inhibitory neurons
E. Catsigeras, A. Rovella, R. Budelli
Published 2008-05-17, updated 2008-12-17Version 2
We prove that a topologically generic network (an open and dense set of networks) of three or more inhibitory neurons have periodic behavior with a finite number of limit cycles that persist under small perturbations of the structure of the network. The network is modeled by the Poincare transformation which is piecewise continuous and locally contractive on a compact region B of a finite dimensional manifold, with the separation property: it transforms homeomorphically the different continuity pieces of B into pairwise disjoint sets.
Comments: In this version we changed the section 2 to include a complete proof of the properties of the mathematical model from a physical model. In section 4 we added more details to the proof of the Lemmas and the main Theorem
Journal: International Journal of Pure and Applied Mathematics, Volume 61 Number 4 2010, 381-407
Keywords: piecewise continuous maps modeling networks, contractive piecewise continuous maps modeling, inhibitory neurons, finite dimensional manifold, continuity pieces
Tags: journal article
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