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Graph-theoretic description of the interplay between non-linearity and connectivity in biological systems.
- Source :
-
Mathematical biosciences [Math Biosci] 1999 Mar 01; Vol. 156 (1-2), pp. 229-53. - Publication Year :
- 1999
-
Abstract
- The purpose of this article is to stress the implications that the consideration of nonlinearity has upon the extension and strength of connectivity, if this is understood as a characterization of the degree of interrelation between parts of the system. This objective is reached within the QP formalism for non-linear ODEs. The formalism is developed in a graph-theoretic setting, with the help of which the connectionist aspect of non-linearity becomes apparent. Topology-preserving transformations involve an exchange between the degree of non-linearity and the strengths of interactions, thus assembling systems of apparently different nature into classes of equivalence. We argue that, if we have in mind a classification of systems according to behavior, these classes of equivalence should be given their proper singularity. We characterize globally the connectivity of a class with an index, although we point out during the discussion that the mathematical conception of the complex idea of connectivity is still incomplete.
- Subjects :
- Linear Models
Models, Biological
Neural Networks, Computer
Subjects
Details
- Language :
- English
- ISSN :
- 0025-5564
- Volume :
- 156
- Issue :
- 1-2
- Database :
- MEDLINE
- Journal :
- Mathematical biosciences
- Publication Type :
- Academic Journal
- Accession number :
- 10204395
- Full Text :
- https://doi.org/10.1016/s0025-5564(98)10068-8