Neurons can exhibit abundant electrical activities in response to various externally applied stimuli, which can lay the groundwork for widening their use in neuron-based engineering applications. This paper presents the dynamical behaviors and analogy circuit-based confirmations in a bipolar pulse (BP) current-forced two-dimensional (2D) Wilson neuron model. Due to the existence of BP current, the proposed 2D neuron model has periodically switchable equilibrium states. The BP current-associated dynamical behaviors, including subthreshold oscillation (STO), periodic limit cycle, chaos, and antimonotonicity phenomenon, are numerically revealed by common dynamical analyses. Note that the electrical activity behaves a close dependence on the frequency of the externally applied BP current. Thereafter, an analog circuit is optimally synthesized to implement the 2D Wilson neuron model by utilizing the off-the-shelf discrete components, upon which the Multisim 12.0-based circuit simulations and hardware experiments are executed. It is revealed that the circuit-simulated and experimentally captured results well confirm the numerically simulated ones.

神经元可以响应各种外部施加的刺激而表现出丰富的电活动，这可以为扩大它们在基于神经元的工程应用中的应用奠定基础。本文介绍了双极脉冲 (BP) 电流强制二维 (2D) 威尔逊神经元模型中的动力学行为和基于模拟电路的确认。由于BP电流的存在，所提出的二维神经元模型具有周期性可切换的平衡状态。BP 电流相关的动力学行为，包括亚阈值振荡 (STO)、周期性极限循环、混沌和反单调现象，通过常见的动力学分析在数值上得到揭示。请注意，电活动的行为与外部施加的 BP 电流的频率密切相关。此后，通过利用现成的分立元件优化合成模拟电路以实现 2D 威尔逊神经元模型，在此基础上执行基于 Multisim 12.0 的电路模拟和硬件实验。结果表明，电路模拟和实验捕获的结果很好地证实了数值模拟的结果。