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JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Stability and Hopf bifurcation analysis for the hypothalamic-pituitary-adrenal axis model with memory.
Mathematical Medicine and Biology : a Journal of the IMA 2018 March 15
This article generalizes the existing minimal model of the hypothalamic-pituitary-adrenal (HPA) axis in a realistic way, by including memory terms: distributed time delays, on one hand and fractional-order derivatives, on the other hand. The existence of a unique equilibrium point of the mathematical models is proved and a local stability analysis is undertaken for the system with general distributed delays. A thorough bifurcation analysis for the distributed delay model with several types of delay kernels is provided. Numerical simulations are carried out for the distributed delays models and for the fractional-order model with discrete delays, which substantiate the theoretical findings. It is shown that these models are able to capture the vital mechanisms of the HPA system.
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