Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.
Nat Commun. 2021 Mar 11;12(1):1581. doi: 10.1038/s41467-021-21890-1.
Low power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory neurons are more readily driven by portable, distributed, and ubiquitous power sources. Here, we report a contact-electrification-activated artificial afferent at femtojoule energy. Upon the contact-electrification effect, the induced triboelectric signals activate the ion-gel-gated MoS postsynaptic transistor, endowing the artificial afferent with the adaptive capacity to carry out spatiotemporal recognition/sensation on external stimuli (e.g., displacements, pressures and touch patterns). The decay time of the synaptic device is in the range of sensory memory stage. The energy dissipation of the artificial afferents is significantly reduced to 11.9 fJ per spike. Furthermore, the artificial afferents are demonstrated to be capable of recognizing the spatiotemporal information of touch patterns. This work is of great significance for the construction of next-generation neuromorphic sensory network, self-powered biomimetic electronics and intelligent interactive equipment.
具有人工智能和生物传入特征的低功耗电子设备有益于神经形态感觉网络。高度分布式的突触感觉神经元更容易被便携式、分布式和无处不在的电源驱动。在这里，我们报告了一种在飞焦焦耳能量下的接触起电激活人工传入。在接触起电效应的作用下，感应的摩擦电信号激活离子凝胶门控 MoS 后突触晶体管，赋予人工传入自适应能力，对外部刺激（例如位移、压力和触摸模式）进行时空识别/感觉。突触器件的衰减时间在感觉记忆阶段的范围内。人工传入的能量消耗显著降低到每尖峰 11.9 飞焦。此外，人工传入能够识别触摸模式的时空信息。这项工作对于构建下一代神经形态感觉网络、自供电仿生电子学和智能交互设备具有重要意义。
