A half FitzHugh-Nagumo neuron circuit embedded into a motor for a new intelligent actuator

This paper presents an innovative circuit engineered to establish a direct link between neuromorphic dynamics and a motor system. The developed system serves as a fundamental component for building intricate chains of adaptive neural half-oscillators, where the neural equations lose a state variable, which in turn is replaced by the one representing the driving motion. Significantly, this is the introduction of the concept of a motor neuron as a singular neurocomputational and control unit. Such a concept can be applied to various actuators, with the neuronal dynamics driving the movement and the motor component in turn regulating the neuronal activity. Here, for the first time, a complete analog implementation of the entire strategy is presented experimentally.