Multifunctional near-sensor computing sensory neurons based on the integration of flexible sensors and memristors hold promise to achieve unprecedented development in large-scale neuromorphic perception circuits and human-machine interaction systems. However, the traditional sensory-memory integrated systems are based on the integration of different device modules, which are subjected to redundant analog-to-digital conversion circuits and poor flexibility. Here, an all MXene-based flexible sensory neuron fabricated by a room temperature energy-efficient, and controllable oxidation preparation technique is reported. The near-sensor computing system is seamlessly integrated a MXene-based pressure sensor array for acquisition of tactile signals with a flexible MXene-based memristor array for simulating the implementation of perceived behavior. The tactile sensor array shows a wide range (0.1–100 kPa), high linear sensitivity (23.9 kPa), and the memristor array exhibits repeatable and stable bipolar resistive switching behavior (retention >100 cycles, endurance >10 s) and excellent flexibility (R=1.0 mm). As a conceptual demonstration, our devices realize high-precision recognition of handwritten digit recognition (93.21%) and human motion (97.96%), which demonstrate the feasibility for real-time health monitoring based on signals collected by sensors and artificial neural networks constructed by the memristors. The MXene-based sensor-memristor system offers a prominent contribution towards advanced application of intelligence in electronic skin and wearable electronic equipment.

中文翻译：

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基于 MXene 的仿生柔性感觉神经元，用于触觉近传感器计算

基于柔性传感器和忆阻器集成的多功能近传感器计算感觉神经元有望在大规模神经形态感知电路和人机交互系统中实现前所未有的发展。然而，传统的感觉记忆集成系统基于不同器件模块的集成，模数转换电路冗余，灵活性差。在此，报道了一种通过室温节能、可控氧化制备技术制造的全基于 MXene 的柔性感觉神经元。近传感器计算系统无缝集成了基于 MXene 的压力传感器阵列（用于采集触觉信号）和灵活的基于 MXene 的忆阻器阵列（用于模拟感知行为的实现）。触觉传感器阵列表现出宽范围（0.1–100 kPa）、高线性灵敏度（23.9 kPa），忆阻器阵列表现出可重复且稳定的双极电阻开关行为（保持> 100个周期，耐久性> 10 s）和出色的灵活性（ R=1.0 毫米）。作为概念演示，我们的设备实现了手写数字识别（93.21％）和人体动作（97.96％）的高精度识别，这证明了基于传感器收集的信号和构建的人工神经网络进行实时健康监测的可行性忆阻器。基于 MXene 的传感器忆阻器系统为电子皮肤和可穿戴电子设备中智能的高级应用做出了突出贡献。