This paper presents a hardware implementation of a compartmental spiking neuron model based on RC circuits, designed for physical modeling of control and information processing systems using compartmental spiking neurons. The study developed circuit designs for individual functional elements of the CSNM neuron model. Simulation experiments demonstrated that the proposed implementation accurately reproduces the required temporal characteristics of pulse stream conversion compared to the mathematical model. Furthermore, compared to the previously proposed operational amplifier-based solution, the presented circuits are significantly simpler to implement in hardware. The solution allows flexible modification of the neuron’s dendritic and synaptic structure. A limitation of the proposed approach is its relatively low energy efficiency, though this is not critical in the context of modeling relatively small neural structures.