Demonstrating the importance of dynamical systems theory

June 27th, 2011 in Biology / Cell & Microbiology
Properties of two successive action potentials within a burst at 8 mM Glucose. (Top) Time-dependent changes of the instantaneous equilibrium or "lead" potential VL (red) and Vm (black). (Bottom) Time-dependent changes in contributions (c) of ICaV, IKDr, IKCa(BK) and INaCa. The c of other currents were also plotted in the diagram, but are barely visible because of their minor contributions. The time scale of the x-axis is 40 s. Credit: Cha, C.Y., et al. 2011. J. Gen. Physiol. doi:10.1085/jgp.201110611.


Properties of two successive action potentials within a burst at 8 mM Glucose. (Top) Time-dependent changes of the instantaneous equilibrium or "lead" potential VL (red) and Vm (black). (Bottom) Time-dependent changes in contributions (c) of ICaV, IKDr, IKCa(BK) and INaCa. The c of other currents were also plotted in the diagram, but are barely visible because of their minor contributions. The time scale of the x-axis is 40 s. Credit: Cha, C.Y., et al. 2011. J. Gen. Physiol. doi:10.1085/jgp.201110611.

Two new papers in the Journal of General Physiology demonstrate the successes of using bifurcation theory and dynamical systems approaches to solve biological puzzles.

In companion papers, Akinori Noma and colleagues from Japan first present of a model for bursting electrical activity in , and then use bifurcation diagrams to analyze the behavior of the model. In his Commentary accompanying the articles, Arthur Sherman (National Institutes of Health) proposes that the methods demonstrated in these two papers have broader implications and demonstrate the increasingly important role of dynamical systems approaches in the field of biology.

Mathematical modeling is an important tool in understanding complex . Unlike time-based simulations of models, which test only one set of parameter values, bifurcation diagrams analyze the solutions of the governing equations as a function of critical parameters. Such bifurcation scenarios are a powerful tool for dissecting complex systems by subdividing them into parameter regions that underlie distinct , Sherman explains. He proposes that dynamic modeling will become a more prominently used tool for biologists as live cell–imaging techniques continue to reveal greater complexity and more cell-signaling mechanisms.

More information: The articles appear online on June 27 www.jgp.org

Provided by Rockefeller University

"Demonstrating the importance of dynamical systems theory." June 27th, 2011. http://phys.org/news/2011-06-importance-dynamical-theory.html