Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Nat Commun. 2011 Oct 4;2:489. doi: 10.1038/ncomms1496.

Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes.

Author information

  • 1Centre for Bioinformatics, Imperial College London, London SW7 2AZ, UK.

Abstract

Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constructing mathematical models of such phenomena have taken an indirect, quantitative approach, for example, by fitting models to a finite number of data points. Here we develop a qualitative inference framework that allows us to both reverse-engineer and design systems exhibiting these and other dynamical behaviours by directly specifying the desired characteristics of the underlying dynamical attractor. This change in perspective from quantitative to qualitative dynamics, provides fundamental and new insights into the properties of dynamical systems.

PMID:
21971504
[PubMed - indexed for MEDLINE]
PMCID:
PMC3207206
Free PMC Article

Images from this publication.See all images (3)Free text

Figure 1
Figure 2
Figure 3
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Write to the Help Desk