Real-time Implementation and Application of Hodgkin–Huxley Model in Embedded System of Closed-Loop Electrophysiology Platform

The Hodgkin-Huxley (HH) model can simulate the process of neuron pulse delivery, and can reasonably explain each step in the process. In this study, we use a microcontroller based on the Advanced RISC Machines (ARM) core to implement the Hodgkin-Huxley model, and use four microcontrollers to implement three ion channels and an external current channel. The hardware experimental results and MATLAB simulation results are exactly the same. Studies have shown that the dynamic characteristics of the neuron model implemented on a microcontroller based on the ARM Cortex-M4 core can meet real-time computing requirements. In addition, due to the different conditions of patients, its external stimulation current and the reversal potential of each ion channel has a significant effect on the neuron release process. By changing the parameters on a single microcontroller, we adjusted and tested it on the hardware platform to show the experimental results more clearly and conveniently. The results show that changes in the stimulation current will affect the firing state of the neurons, and changes in the reversal potential of each ion channel will affect the firing frequency of the HH neuron model.