Key result
Computer simulations of cardiac action potential models demonstrated that memory can cause dynamical instabilities resulting in complex excitation dynamics and chaos.
Short-term memory in cardiac action potential models can induce dynamical instabilities leading to chaos, offering insights into the mechanisms of cardiac arrhythmias.
Cardiac memory may promote arrhythmias via chaos in models; hypothesis-generating, requires in vivo validation before clinical relevance.
Excitable systems display memory, but how memory affects the excitation dynamics of such systems remains to be elucidated. Here we use computer simulation of cardiac action potential models to demonstrate that memory can cause dynamical instabilities that result in complex excitation dynamics and chaos. We develop an iterated map model that correctly describes these dynamics and show that memory converts a monotonic first return map of action potential duration into a nonmonotonic one, resulting in a period-doubling bifurcation route to chaos.
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Landaw et al. (2017) studied Cardiac excitation dynamics (simulation). Computer simulation of cardiac action potential models was evaluated on Dynamical instabilities and chaos. Computer simulations of cardiac action potential models demonstrated that memory can cause dynamical instabilities resulting in complex excitation dynamics and chaos.
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