Dynamical response in an electromechanical arm driven by temperature-dependent neural circuit

Abstract

The thermosensitive neurons can detect changes in external temperature, and the external physical information is converted into neural signals. The external temperature is translated into an equivalent electrical stimulus, and the excitability of these neurons is controlled by adjusting the external electrical signal. These neurons exhibit a certain degree of adaptability, inducing appropriate discharge patterns only when subjected to external stimuli within a specific temperature range. Therefore, thermosensitive neurons formed by temperature regulated neural circuits can be used to study signal processing of thermosensitive neurons and control of mechanical arm. A temperature sensing mechanical arm system is constructed based on neural circuits in this article, and the influence of temperature on the dynamic behaviors of a mechanical arm system regulated by thermosensitive neurons is studied. Numerical simulations are performed to research the effect of external stimulation current and temperature on pattern formation. The bifurcation analysis of the membrane potential reveals the conversion in electrical activity and pattern selection. The bifurcation analysis of membrane potential reveals the mode switching of electrical activity and its impact on the displacement of the mechanical arm. The results indicate that as the temperature changes, the membrane potential exhibits different discharge patterns, which in turn affect the maximum displacement of the mechanical arm. The coupling between neural circuits and mechanical arm promotes effective signal propagation in the system. It is found that there is an appropriate temperature range that allowed the mechanical arm of the coupled system to move steadily back and forth. The research results confirm that external temperature can affect the firing mode of neurons and control the displacement of the mechanical arm.