Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves

This paper presents an optoelectronic spiking afferent nerve system inspired by biological somatosensory systems. The system uses MXene-based pressure sensors, light-emitting diodes (LEDs), and a synaptic photomemristor to sense pressure, convert it into optical pulses, and integrate the information. The system demonstrates neural coding, allowing it to detect simultaneous pressure inputs and recognize patterns like Morse code, Braille, and object movement. Furthermore, it exhibits perceptual learning and memorization capabilities, enabling it to recognize and memorize handwritten alphabets and words. This research offers a promising approach for applications in e-skin, neurorobotics, and human-machine interaction.

Hongwei Tan, Quanzheng Tao, Ishan Pande, Sayani Majumdar, Fu Liu, Yifan Zhou, Per O.A. Persson, Johanna Rosen, Sebastiaan van Dijken