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  • 标题:Modeling a population of switches via chaotic dynamics
  • 本地全文:下载
  • 作者:A. Buscarino ; L. Belhamel ; M. Bucolo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:16791-16795
  • DOI:10.1016/j.ifacol.2020.12.1164
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis note investigates the behavior of a population of interconnected irreversible switches, whose switching mechanism is triggered by a chaotic map. Motivation comes from the fact that many emergent properties of biological systems are ruled by the activation of a population of biochemical switches, whose timing and fluctuations may lead to different cell fates. They have been usually investigated according to a stochastic approach, and in this work we show how some properties could be similarly explained in terms of the emergent properties of a chaotic system. With respect to noise, chaos comes out from a deterministic framework, thereby allowing the implementation of experimental procedures directed to investigate the behavior of the system according to different scenarios by means of a rigorous deterministic passage from mathematics to simulation, that cannot be honestly rendered for the stochastic framework, since pseudo-random sequences are usually invoked.
  • 关键词:KeywordsMathematical modelingChaotic SystemsStochastic SystemsSynthetic Biology
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