DOI: 10.1007/978-3-540-73433-8_11
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An Algebraic Algorithm for the Identification of Glass Networks with Periodic Orbits Along Cyclic Attractors

Abstract: Glass piecewise linear ODE models are frequently used for simulation of neural and gene regulatory networks. Efficient computational tools for automatic synthesis of such models are highly desirable. However, the existing algorithms for the identification of desired models are limited to four-dimensional networks, and rely on numerical solutions of eigenvalue problems. We suggest a novel algebraic criterion to detect the type of the phase flow along network cyclic attractors that is based on a corollary of the… Show more

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Cited by 6 publications
(10 citation statements)
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“…The lower bounds for the number of the classes in dimension 6 has been obtained in [16]. The presented classification algorithm is a modified ALL-SAT procedure as described in [16].…”
Section: B Classification Of Codes In Dimension 6 Andmentioning
confidence: 99%
“…The lower bounds for the number of the classes in dimension 6 has been obtained in [16]. The presented classification algorithm is a modified ALL-SAT procedure as described in [16].…”
Section: B Classification Of Codes In Dimension 6 Andmentioning
confidence: 99%
“…The classification of induced cycles with respect to symmetries of a hypercube is of interest in Glass models for neural and gene regulatory networks, because the number of the equivalence classes of the codes indicates how many different types of cells can be regulated by a set of genes [21,10].…”
Section: Classification Of Induced Cyclesmentioning
confidence: 99%
“…This paper is an extension of two conference papers [1], [2]. A part of this work was presented at the 7 th Australia-New Zealand Mathematics Convention, Christchurch, New Zealand, December 11, 2008 where x i denotes the concentration of the product of gene i.…”
Section: Introductionmentioning
confidence: 99%
“…The results have been summarized as conjectures that link the equilibria and the periodic behavior of autonomous ODE to inhibiting and activating patterns of wiring schemes [20]. 1 Every edge in the graph that joins two vertices of the cycle is an edge of this cycle.…”
Section: Introductionmentioning
confidence: 99%
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