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典型文献
Photonic synapses with ultralow energy consumption for artificial visual perception and brain storage
文献摘要:
The human visual system, dependent on retinal cells, can be regarded as a complex combination of optical system and nervous system. Artificial retinal system could mimic the sensing and processing function of human eyes. Optically stimu-lated synaptic devices could serve as the building blocks for artificial retinas and subsequent information transmission system to brain. Herein, photonic synaptic transistors based on polycrystalline MoS2, which could simulate human visual perception and brain storage, are presented. Moreover, the photodetection range from visible light to near-infrared light of MoS2 multilayer could extend human eyes' vision limitation to near-infrared light. Additionally, the photonic synaptic transistor shows an ultrafast speed within 5 μs and ultralow power consumption under optical stimuli about 40 aJ, sever-al orders of magnitude lower than biological synapses (50 ms and 10 fJ). Furthermore, the backgate control could act as emotional modulation of the artificial brain to enhance or suppress memory function, i.e. the intensity of photoresponse. The proposed carrier trapping/detrapping as the main working mechanism is presented for the device. In addition, syn-aptic functionalities including short synaptic plasticity, long synaptic plasticity and paired-pulse facilitation could be suc-cessfully simulated based on the prepared device. Furthermore, the large difference between short synaptic plasticity and long synaptic plasticity reveals the better image pre-processing function of the prepared photonic synapses. The classical Pavlovian conditioning associated with the associative learning is successfully implemented as well. Therefore, the efficient and rich functionalities demonstrate the potential of the MoS2 synaptic device that integrates sensing-memory-preprocessing capabilities for realizing artificial neural networks with different emotions that mimic human retina and brain.
文献关键词:
作者姓名:
Caihong Li;Wen Du;Yixuan Huang;Jihua Zou;Lingzhi Luo;Song Sun;Alexander O.Govorov;Jiang Wu;Hongxing Xu;Zhiming Wang
作者机构:
Institute of Fundamental and Frontier Sciences,University of Electronic Science and Technology of China,Chengdu 610054,China;Microsystem and Terahertz Research Center,China Academy of Engineering Physics,Chengdu 610200,China;Institute of Electronic Engineering,China Academy of Engineering Physics,Mianyang 621999,China;Department of Physics and Astronomy,Ohio University,Athens,Ohio 45701,United States;State Key Laboratory of Electronic Thin Films and Integrated Devices,University of Electronic Science and Technology of China,Chengdu 610065,China;School of Physics and Technology,Wuhan University,Wuhan 430072,China
引用格式:
[1]Caihong Li;Wen Du;Yixuan Huang;Jihua Zou;Lingzhi Luo;Song Sun;Alexander O.Govorov;Jiang Wu;Hongxing Xu;Zhiming Wang-.Photonic synapses with ultralow energy consumption for artificial visual perception and brain storage)[J].光电进展(英文版),2022(09):1-13
A类:
aJ,backgate,aptic,Pavlovian
B类:
Photonic,synapses,ultralow,energy,consumption,artificial,visual,perception,brain,storage,human,system,dependent,retinal,cells,can,regarded,complex,combination,optical,nervous,Artificial,could,mimic,sensing,eyes,Optically,synaptic,devices,serve,building,blocks,retinas,subsequent,information,transmission,Herein,photonic,transistors,polycrystalline,MoS2,which,presented,Moreover,photodetection,range,from,visible,light,near,infrared,multilayer,extend,vision,limitation,Additionally,shows,ultrafast,speed,within,power,under,stimuli,about,sever,orders,magnitude,lower,than,biological,ms,fJ,Furthermore,control,act,emotional,modulation,enhance,suppress,memory,intensity,photoresponse,proposed,carrier,detrapping,main,working,mechanism,In,addition,functionalities,including,short,plasticity,long,paired,pulse,facilitation,simulated,prepared,large,difference,between,reveals,better,image,classical,conditioning,associated,associative,learning,successfully,implemented,well,Therefore,efficient,rich,demonstrate,potential,that,integrates,preprocessing,capabilities,realizing,neural,networks,different,emotions
AB值:
0.516657
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