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A GROUP-THEORETIC APPROACH TO RINGS OF COUPLED BIOLOGICAL OSCILLATORS

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UNSPECIFIED (1994) A GROUP-THEORETIC APPROACH TO RINGS OF COUPLED BIOLOGICAL OSCILLATORS. BIOLOGICAL CYBERNETICS, 71 (2). pp. 95-103. ISSN 0340-1200

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Abstract

In this paper, a general approach for studying rings of coupled biological oscillators is presented. This approach, which is group-theoretic in nature, is based on the finding that symmetric ring networks of coupled non-linear oscillators possess generic patterns of phase-locked oscillations. The associated analysis is independent of the mathematical details of the oscillators' intrinsic dynamics and the nature of the coupling between them. The present approach thus provides a framework for distinguishing universal dynamic behaviour from that which depends upon further structure. In this study, the typical oscillation patterns for the general case of a symmetric ring of n coupled non-linear oscillators and the specific cases of three- and five-membered rings are considered. Transitions between different patterns of activity are modelled as symmetry-breaking bifurcations. The effects of one-way coupling in a ring network and the differences between discrete and continuous systems are discussed. The theoretical predictions for symmetric ring networks are compared with physiological observations and numerical simulations. This comparison is limited to two examples: neuronal networks and mammalian intestinal activity. The implications of the present approach for the development of physiologically meaningful oscillator models are discussed.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Journal or Publication Title: BIOLOGICAL CYBERNETICS
Publisher: SPRINGER VERLAG
ISSN: 0340-1200
Date: June 1994
Volume: 71
Number: 2
Number of Pages: 9
Page Range: pp. 95-103
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/20539

Data sourced from Thomson Reuters' Web of Knowledge

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