Inductor-Stabilized Charge-Controlled Memristor Neuromorphic Circuit Design With Complex Firing Dynamics

Neuromorphic circuits based on memristive devices have attracted increasing attention for their potential to emulate biological neuronal dynamics and enable energy-efficient brain-inspired computing. In this paper, an inductor-stabilized charge-controlled memristor neuromorphic circuit is proposed to enable the practical circuit implementation of current-driven memristive neuron dynamics. By introducing an inductor in series with a charge-controlled memristor, the input characteristics are stabilized, allowing the memristor to approximately operate under current-controlled conditions in practical analog circuits. The resulting memristor–inductor structure is employed as an ion-channel element and incorporated into a neuron circuit, leading to the construction of a five-dimensional neuromorphic circuit system.The dynamical properties of the proposed circuit are systematically investigated through bifurcation diagrams and Lyapunov exponent spectra. Numerical results demonstrate that the system exhibits rich nonlinear behaviors, including periodic oscillations, period-doubling bifurcations, and chaotic firing patterns under different parameter conditions. In addition, the inductor not only stabilizes the memristor input characteristics but can also temporarily behave as a local equivalent power source, significantly influencing the system states. Finally, a PCB-based analog experimental circuit is designed and implemented to validate the proposed neuromorphic circuit model, and the experimental results agree well with numerical simulations, confirming the feasibility and effectiveness of the proposed circuit architecture.