Theoretical Analysis and Hardware Reproduction of the Hodgkin-Huxley Bifurcation Diagram in a LAM-Based Neuron on Edge of Chaos
Yan Liang, Zhiruo Zeng, Kuixing Liu, Yuxin Yang, Yujiao Dong, Peipei Jin, Guangyi Wang, Ahmet Şamil Demirkol, Ronald Tetzlaff, Fernando Corinto, Alon Ascoli · IEEE Transactions on Circuits and Systems I Regular Papers · 2025
Inspired by recent research reported in [1], this paper investigates the bio-inspired bifurcation patterns of a simple memristive neuron on edge of chaos. The adopted memristive neuron, comprising a DC current source, a current-controlled locally active memristor, and a capacitor, successfully reproduces the bifurcation cascade patterns observed in the Hodgkin-Huxley (H-H) neuron model, including fold limit cycle bifurcation (FLCB), subcritical Hopf bifurcation (SUB-HB), and supercritical Hopf bifurcation (SUP-HB). Through attraction basin analysis and pulse-based initial state regulation, we verify the coexistence phenomenon of stable and unstable limit cycles induced by FLCB, as well as the bistable behaviors triggered by SUB-HB. Furthermore, taking resistively coupled memristive neurons as an example, we explore the influence of the dynamics of individual neurons on the bifurcation patterns of coupled networks, where two neurons have identical parameters but different initial states. The results demonstrate that the three bifurcation modes also emerge in memristive coupled networks, and their evolutionary patterns are closely related to the dynamic behaviors of individual neurons. Finally, hardware experiments successfully reproduce the bifurcation cascade phenomenon thereby validating the correctness of theoretical analysis and simulation results.