The dynamics analysis and synchronization application of memristive HR neurons under novel electromagnetic radiation

Electromagnetic radiation is an inevitable presence in real-world environments,to further explore how electromagnetic radiation affects neuronal dynamics. This paper proposes a novel sigmoid-type memristor designed to simulate the impact of electromagnetic radiation on a 2D Hindmarsh–Rose (HR) neuron. Based on this, a new memristive HR neuron model under electromagnetic radiation is constructed. Theoretical and numerical analysis results indicate that the model exhibits rich hidden dynamics, including intermittent chaos, transient chaos, bias control and multistable self-replicating behaviors induced by rotational parameters. Furthermore, to verify the feasibility of the system, the memristive HR neuron model is implemented both in simulation and on a digital circuit platform. Finally, adaptive synchronization and backstepping synchronization methods are designed for the proposed model. Simulation results demonstrate that both methods achieve fast convergence and enable rapid synchronization control of the neurons. These approaches not only accelerate the dynamic response of the neurons but also significantly enhance the system's operational efficiency and performance.