A Skin-Inspired Artificial Mechanoreceptor for Tactile Enhancement and Integration

Mechanoreceptors endow humans with the sense of touch by translating the external stimuli into coded spikes, inspiring the rise of artificial mechanoreceptor systems. However, to incorporate slow adaptive receptors-like pressure sensors with artificial neurons remains a challenge. Here we demonstrate an artificial mechanoreceptor by rationally integrating a polypyrrole-based resistive pressure sensor with a volatile NbOx memristor, to mimic the tactile sensation and perception in natural skin, respectively. The artificial mechanoreceptor enables the tactile sensory coding by converting the external mechanical stimuli into strength-modulated electrical spikes. Also, tactile sensation enhancement is achieved by processing the spike frequency characteristics with the pulse coupled neural network. Furthermore, the artificial mechanoreceptor can integrate signals from parallel sensor channels and encode them into unified electrical spikes, resembling the coding of intensity in tactile neural processing. These results provide simple and efficient strategies for constructing future bio-inspired electronic systems.

Automated summary

The study demonstrates an artificial mechanoreceptor by integrating a resistive pressure sensor and a volatile memristor, mimicking tactile sensation in natural skin and converting external mechanical stimuli into electrical spikes. Enhancement of tactile sensation is achieved by processing pulse frequency characteristics, and the artificial mechanoreceptor provides a simple and efficient strategy for constructing future bio-inspired electronic systems.