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Predicting Pattern Formation in Multilayer Networks.
Hayes, Sean M; Anderson, Kurt E.
Afiliación
  • Hayes SM; Department of Evolution, Ecology, and Organismal Biology, University of California Riverside, Riverside, CA, 92521, USA. seanmhayes89@gmail.com.
  • Anderson KE; Department of Evolution, Ecology, and Organismal Biology, University of California Riverside, Riverside, CA, 92521, USA.
Bull Math Biol ; 82(1): 4, 2019 12 20.
Article en En | MEDLINE | ID: mdl-31919600
ABSTRACT
We investigate how the structure of interactions between coupled oscillators influences the formation of asynchronous patterns in a multilayer network by formulating a simple, general multilayer oscillator model. We demonstrate the analysis of this model in three-oscillator systems, illustrating the role of interactions among oscillators in sustaining differences in both the phase and amplitude of oscillations leading to the formation of asynchronous patterns. Finally, we demonstrate the generalizability of our model's predictions through comparison with a more realistic multilayer model. Overall, our model provides a useful approach for predicting the types of asynchronous patterns that multilayer networks of coupled oscillators which cannot be achieved by the existing methods which focus on characterizing the synchronous state.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Relojes Biológicos / Conceptos Matemáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bull Math Biol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Relojes Biológicos / Conceptos Matemáticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bull Math Biol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos