Artificial multisensory integration nervous system with haptic and iconic perception behaviors

被引:108
|
作者
Wu, Xiaomin [1 ,2 ]
Li, Enlong [1 ]
Liu, Yaqian [1 ]
Lin, Weikun [1 ]
Yu, Rengjian [1 ]
Chen, Gengxu [1 ,2 ]
Hu, Yuanyuan [3 ]
Chen, Huipeng [1 ,2 ]
Guo, Tailiang [1 ,2 ]
机构
[1] Fuzhou Univ, Natl & Local United Engn Lab Flat Panel Display T, Inst Optoelect Display, Fuzhou 350002, Peoples R China
[2] Fujian Sci & Technol Innovat Lab Optoelect Inform, Fuzhou 350100, Peoples R China
[3] Hunan Univ, Sch Phys & Elect, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Peoples R China
基金
中国国家自然科学基金;
关键词
Organic transistor; Synaptic transistors; Multisensory integration; Triboelectric nanogenerator; Lead-free perovskite quantum dots;
D O I
10.1016/j.nanoen.2021.106000
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Sensory neurons integrate multiple sensory inputs into a synthetical perception to monitor complex environments, which significantly impact on how we perceive the world. However, a true implementation of such an electronic device to mimic multiple sensory modalities, especially the coordinating behaviors of multisensory integration, has rarely been reported thus far. Herein, an artificial multisensory integration nervous system with haptic and iconic perception behaviors is developed by integrating flexible triboelectric nanogenerator (TENG) with organic photosynaptic transistor, where lead-free perovskite (Cs2AgBiBr6) quantum dots (QDs) are firstly presented. Meanwhile, Inverse effectiveness effect and Temporal congruency, which are the primary principles of multisensory integration in biological perceptual system, are firstly precisely mimicked in our system. Moreover, the pattern recognition results show that multisensory integration exhibited obviously higher accuracy than single sense, which is consistent with biological system. Furthermore, 3 x 3 pixel array of artificial photosynaptic circuits actuated with TENG is designed and demonstrated for the recognition of various objects in extreme environments, which further verifies the superiority of the multisensory integration with improved image contrast, accuracy of subsequent pattern recognition, and environment-adaptable perception behaviors. This work provides new insight into developing artificial multisensory integration nerve in neuromorphic perceptions and neuromorphic computing, which is of great significance in future human-machine interaction, sophisticated robotic prostheses and neurorobotic system.
引用
收藏
页数:9
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