Bifurcations, chaos, and sensitivity to parameter variations in the Sato cardiac cell model


The dynamics of a detailed ionic cardiac cell model proposed by Sato et al. (2009) is investigated in terms of periodic and chaotic action potentials, bifurcation scenarios, and coexistence of attractors. Starting from the modeltextquoterights standard parameter values bifurcation diagrams are computed to evaluate the modeltextquoterights robustness with respect to (small) parameter changes. While for some parameters the dynamics turns out to be practically independent from their values, even minor changes of other parameters have a very strong impact and cause qualitative changes due to bifurcations or transitions to coexisting attractors. Implications of this lack of robustness are discussed.

Communications in Nonlinear Science and Numerical Simulation 37: 265–281