Shi Jiajuan, Lin Ya, Wang Zhongqiang, Shan Xuanyu, Tao Ye, Zhao Xiaoning, Xu Haiyang, Liu Yichun
Key Laboratory for UV Light-Emitting Materials and Technology (Northeast Normal University), Ministry of Education, 5268 Renmin Street, Changchun, 130024, P. R. China.
Adv Mater. 2024 Aug;36(32):e2314156. doi: 10.1002/adma.202314156. Epub 2024 Jun 5.
Adaptive processing allows sensory systems to autonomically adjust their sensitivity with exposure to a constant sensory stimulus and thus organisms to adapt to environmental variations. Bioinspired electronics with adaptive functions are highly desirable for the development of neuromorphic sensory systems (NSSs). Herein, the functions of desensitization and sensitivity changing with background intensity (i.e., Weber's law), as two fundamental cues of sensory adaptation, are biorealistically demonstrated in an Ag nanowire (NW)-embedded sodium alginate (SA) based complementary memristor. In particular, Weber's law is experimentally emulated in a single complementary memristor. Furthermore, three types of adaptive NSS unit are constructed to realize a multiple perceptual capability that processes the stimuli of illuminance, temperature, and pressure signals. Taking neuromorphic vision as an example, scotopic and photopic adaptation functions are well reproduced for image enhancement against dark and bright backgrounds. Importantly, an NSS system with multisensory integration function is demonstrated by combining light and pressure spikes, where the accuracy of pattern recognition is obviously enhanced relative to that of an individual sense. This work offers a new strategy for developing neuromorphic electronics with adaptive functions and paves the way toward developing a highly efficient NSS.
自适应处理使感觉系统能够在持续受到感觉刺激时自动调整其灵敏度,从而使生物体能够适应环境变化。具有自适应功能的仿生电子器件对于神经形态传感系统(NSS)的发展极为重要。在此,作为感觉适应的两个基本线索,脱敏功能以及灵敏度随背景强度变化(即韦伯定律)在基于嵌入银纳米线(NW)的海藻酸钠(SA)的互补忆阻器中得到了逼真的演示。特别是,在单个互补忆阻器中通过实验模拟了韦伯定律。此外,构建了三种类型的自适应NSS单元,以实现处理照度、温度和压力信号刺激的多重感知能力。以神经形态视觉为例,暗适应和明适应功能得到了很好的再现,可用于针对暗背景和亮背景的图像增强。重要的是,通过结合光脉冲和压力脉冲演示了具有多感官集成功能的NSS系统,其中模式识别的准确性相对于单一感官明显提高。这项工作为开发具有自适应功能的神经形态电子器件提供了一种新策略,并为开发高效的NSS铺平了道路。