Bioelectronic medicine is driving the need to design low-power circuits for interfacing biological neurons to electronic neural systems. Neuromorphic engineering provides design solutions for building circuits capable of emulating biological neural systems. However, very few attempts have been made to provide accurate models that resemble those of real neurons. This paper presents a silicon neuron, based on a generalized Hodgkin–Huxley model with programmable slopes for each ion channel, that provide a robust method for matching the neural dynamics in biological systems. We use this feature to emulate neurons involved in respiratory CPG responsible for the stimulation of the vagus nerve.