Dynamical robustness of complex biological networks

Gouhei Tanaka, Kai Morino, Kazuyuki Aihara

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Citations (Scopus)

Abstract

Dynamical behavior of biological systems is maintained by interactions between biological units such as neurons, cells, proteins, and molecules. It is a challenging issue to understand robustness of biological interaction networks from a viewpoint of dynamical systems. In this chapter, we introduce the concept of dynamical robustness in complex networks and demonstrate its application to biological networks. First, we introduce the framework for studying the dynamical robustness through analyses of coupled Stuart-Landau oscillators with various types of network structures. Second, based on the framework, we examine the dynamical robustness of neuronal firing activity in networks of synaptically coupled Morris- Lecar neuron models. Our analyses suggest that a consideration of both network structure and dynamics is crucial in elucidating biological robustness.

Original languageEnglish
Title of host publicationMathematical Approaches to Biological Systems
Subtitle of host publicationNetworks, Oscillations, and Collective Motions
PublisherSpringer Japan
Pages29-53
Number of pages25
ISBN (Electronic)9784431554448
ISBN (Print)9784431554431
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)
  • Mathematics(all)
  • Computer Science(all)

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