With the merits of non-contact,highly efficient,and parallel computing,optoelectronic synaptic devices combining sensing and memory in a single unit are promising for constructing neuromorphic computing and artificial...With the merits of non-contact,highly efficient,and parallel computing,optoelectronic synaptic devices combining sensing and memory in a single unit are promising for constructing neuromorphic computing and artificial visual chip.Based on this,a N:ZnO/MoS_(2)-heterostructured flexible optoelectronic synaptic device is developed in this work,and its capability in mimicking the synaptic behaviors is systemically investigated under the electrical and light signals.Versatile synaptic functions,including synaptic plasticity,long-term/short-term memory,and learning-forgetting-relearning property,have been achieved in this synaptic device.Further,an artificial visual memory system integrating sense and memory is emulated with the device array,and the visual memory behavior can be regulated by varying the light parameters.Moreover,the optoelectronic co-modulation behavior is verified by applying mixed electric and light signals to the array.In detail,a transient recovery property is discovered when the electric signals are applied in synergy during the decay of the light response,of which property facilitates the development of robust artificial visual systems.Furthermore,by superimposing electrical signals during the light response process,a differentiated response of the array is achieved,which can be used as a proof of concept for the color perception of the artificial visual system.展开更多
Inspired by the visual neurons of biological systems,optoelectronic synaptic devices integrate photoresponsive semiconductor materials to convert light into electrical signals,enabling biomimetic visual perception sys...Inspired by the visual neurons of biological systems,optoelectronic synaptic devices integrate photoresponsive semiconductor materials to convert light into electrical signals,enabling biomimetic visual perception systems.Achieving memory retention and intelligent perceptual functions continues to pose a major hurdle in the advancement of neuromorphic artificial synapse devices.This review begins with an exploration of biological neural synapses,analyzing the fundamental characteristics and structures of biomimetic optoelectronic synapses.It then delves into the design of device and material structures to achieve postsynaptic current and memory behavior,elucidating their underlying mechanisms.Furthermore,the latest application scenarios of these devices are summarized,highlighting the opportunities and challenges in their future development.This review aims to provide a comprehensive understanding of the advancements in optoelectronic synapses,from material innovations to neuromorphic applications,paving the way for next-generation artificial visual systems and neuromorphic computing.展开更多
Recently,the biologically inspired intelligent artificial visual neural system has aroused enormous interest.However,there are still significant obstacles in pursuing large-scale parallel and efficient visual memory a...Recently,the biologically inspired intelligent artificial visual neural system has aroused enormous interest.However,there are still significant obstacles in pursuing large-scale parallel and efficient visual memory and recognition.In this study,we demonstrate a 28×28 synaptic devices array for the artificial visual neuromorphic system,within the size of 0.7×0.7 cm 2,which integrates sensing,memory,and processing functions.The highly uniform floating-gate synaptic transistors array were constructed by the wafer-scale grown monolayer molybdenum disulfide with Au nanoparticles(NPs)acting as the electrons capture layers.Various synaptic plasticity behaviors have been achieved owing to the switchable electronic storage performance.The excellent optical/electrical coordination capabilities were implemented by paralleled processing both the optical and electrical signals the synaptic array of 784 devices,enabling to realize the badges and letters writing and erasing process.Finally,the established artificial visual convolutional neural network(CNN)through optical/electrical signal modulation can reach the high digit recognition accuracy of 96.5%.Therefore,our results provide a feasible route for future large-scale integrated artificial visual neuromorphic system.展开更多
Neuromorphic hardware equipped with associative learn-ing capabilities presents fascinating applications in the next generation of artificial intelligence.However,research into synaptic devices exhibiting complex asso...Neuromorphic hardware equipped with associative learn-ing capabilities presents fascinating applications in the next generation of artificial intelligence.However,research into synaptic devices exhibiting complex associative learning behaviors is still nascent.Here,an optoelec-tronic memristor based on Ag/TiO_(2) Nanowires:ZnO Quantum dots/FTO was proposed and constructed to emulate the biological associative learning behaviors.Effective implementation of synaptic behaviors,including long and short-term plasticity,and learning-forgetting-relearning behaviors,were achieved in the device through the application of light and electrical stimuli.Leveraging the optoelectronic co-modulated characteristics,a simulation of neuromorphic computing was conducted,resulting in a handwriting digit recognition accuracy of 88.9%.Furthermore,a 3×7 memristor array was constructed,confirming its application in artificial visual memory.Most importantly,complex biological associative learning behaviors were emulated by mapping the light and electrical stimuli into conditioned and unconditioned stimuli,respectively.After training through associative pairs,reflexes could be triggered solely using light stimuli.Comprehen-sively,under specific optoelectronic signal applications,the four features of classical conditioning,namely acquisition,extinction,recovery,and generalization,were elegantly emulated.This work provides an optoelectronic memristor with associative behavior capabilities,offering a pathway for advancing brain-machine interfaces,autonomous robots,and machine self-learning in the future.展开更多
With the rapid development of science and technology,the emergence of new application scenarios,such as robots,driverless vehicles and smart city,puts forward high requirements for artificial visual systems.Optoelectr...With the rapid development of science and technology,the emergence of new application scenarios,such as robots,driverless vehicles and smart city,puts forward high requirements for artificial visual systems.Optoelectronic synaptic devices have attracted much attention due to their advantages in sensing,memory and computing integration.In this work,via band structure engineering and heterostructure designing,a heterojunction optoelectronic synaptic device based on Cu doped with n-type SrTiO_(3)(Cu:STO)film combined with p-type CuAlO_(2)(CAO)thin film was fabricated.It is found surprisingly that the optoelectronic device based on Cu:STO/CAO p-n heterojunction exhibits a rapid response of 2 ms,and that it has a wideband response from visible to near-infrared(NIR)region.Additionally,a series of important synaptic functions,including excitatory postsynaptic current(EPSC),paired-pulse facilitation(PPF),shortterm potentiation(STP)to long-term potentiation(LTP)transition,learning experience behavior and image sharpening,have been successfully simulated on the device.More importantly,the performance of the device remains still stable and reliable after several months which were stored at room temperature and atmospheric pressure.Based on these advantages,the optoelectronic synaptic devices demonstrated here provide great potential in the new generation of artificial visual systems.展开更多
基金supported by the National Natural Science Foundation of China(No.62174068).
文摘With the merits of non-contact,highly efficient,and parallel computing,optoelectronic synaptic devices combining sensing and memory in a single unit are promising for constructing neuromorphic computing and artificial visual chip.Based on this,a N:ZnO/MoS_(2)-heterostructured flexible optoelectronic synaptic device is developed in this work,and its capability in mimicking the synaptic behaviors is systemically investigated under the electrical and light signals.Versatile synaptic functions,including synaptic plasticity,long-term/short-term memory,and learning-forgetting-relearning property,have been achieved in this synaptic device.Further,an artificial visual memory system integrating sense and memory is emulated with the device array,and the visual memory behavior can be regulated by varying the light parameters.Moreover,the optoelectronic co-modulation behavior is verified by applying mixed electric and light signals to the array.In detail,a transient recovery property is discovered when the electric signals are applied in synergy during the decay of the light response,of which property facilitates the development of robust artificial visual systems.Furthermore,by superimposing electrical signals during the light response process,a differentiated response of the array is achieved,which can be used as a proof of concept for the color perception of the artificial visual system.
基金financially supported by the National Key Research and Development Program of China(Nos.2022YFA1204500 and 2022YFA1204502)the National Natural Science Foundation of China(Nos.22293043 and 92163209)the IPE Project for Frontier Basic Research,China(No.QYJC-2023-08)
文摘Inspired by the visual neurons of biological systems,optoelectronic synaptic devices integrate photoresponsive semiconductor materials to convert light into electrical signals,enabling biomimetic visual perception systems.Achieving memory retention and intelligent perceptual functions continues to pose a major hurdle in the advancement of neuromorphic artificial synapse devices.This review begins with an exploration of biological neural synapses,analyzing the fundamental characteristics and structures of biomimetic optoelectronic synapses.It then delves into the design of device and material structures to achieve postsynaptic current and memory behavior,elucidating their underlying mechanisms.Furthermore,the latest application scenarios of these devices are summarized,highlighting the opportunities and challenges in their future development.This review aims to provide a comprehensive understanding of the advancements in optoelectronic synapses,from material innovations to neuromorphic applications,paving the way for next-generation artificial visual systems and neuromorphic computing.
基金supported by National Natural Science Foundation of China(NSFC,Grand No.62127810,61804009)State Key Laboratory of Explosion Science and Safety Protection(QNKT24-03),Xiaomi Young Scholar,Beijing Institute of Technology Research Fund Program for Young Scholars and Analysis&Testing Center,Beijing Institute of Technology.
文摘Recently,the biologically inspired intelligent artificial visual neural system has aroused enormous interest.However,there are still significant obstacles in pursuing large-scale parallel and efficient visual memory and recognition.In this study,we demonstrate a 28×28 synaptic devices array for the artificial visual neuromorphic system,within the size of 0.7×0.7 cm 2,which integrates sensing,memory,and processing functions.The highly uniform floating-gate synaptic transistors array were constructed by the wafer-scale grown monolayer molybdenum disulfide with Au nanoparticles(NPs)acting as the electrons capture layers.Various synaptic plasticity behaviors have been achieved owing to the switchable electronic storage performance.The excellent optical/electrical coordination capabilities were implemented by paralleled processing both the optical and electrical signals the synaptic array of 784 devices,enabling to realize the badges and letters writing and erasing process.Finally,the established artificial visual convolutional neural network(CNN)through optical/electrical signal modulation can reach the high digit recognition accuracy of 96.5%.Therefore,our results provide a feasible route for future large-scale integrated artificial visual neuromorphic system.
基金This work was supported by the Jinan City-University Integrated Development Strategy Project under Grant(JNSX2023017)National Research Foundation of Korea(NRF)grant funded by the Korea government(MIST)(RS-2023-00302751)+1 种基金by the National Research Foundation of Korea(NRF)funded by the Ministry of Education under Grants 2018R1A6A1A03025242 and 2018R1D1A1A09083353by Qilu Young Scholar Program of Shandong University.
文摘Neuromorphic hardware equipped with associative learn-ing capabilities presents fascinating applications in the next generation of artificial intelligence.However,research into synaptic devices exhibiting complex associative learning behaviors is still nascent.Here,an optoelec-tronic memristor based on Ag/TiO_(2) Nanowires:ZnO Quantum dots/FTO was proposed and constructed to emulate the biological associative learning behaviors.Effective implementation of synaptic behaviors,including long and short-term plasticity,and learning-forgetting-relearning behaviors,were achieved in the device through the application of light and electrical stimuli.Leveraging the optoelectronic co-modulated characteristics,a simulation of neuromorphic computing was conducted,resulting in a handwriting digit recognition accuracy of 88.9%.Furthermore,a 3×7 memristor array was constructed,confirming its application in artificial visual memory.Most importantly,complex biological associative learning behaviors were emulated by mapping the light and electrical stimuli into conditioned and unconditioned stimuli,respectively.After training through associative pairs,reflexes could be triggered solely using light stimuli.Comprehen-sively,under specific optoelectronic signal applications,the four features of classical conditioning,namely acquisition,extinction,recovery,and generalization,were elegantly emulated.This work provides an optoelectronic memristor with associative behavior capabilities,offering a pathway for advancing brain-machine interfaces,autonomous robots,and machine self-learning in the future.
基金financially supported by the National Science Funds for Excellent Young Scholars of China(No.61822106)the Natural Science Foundation of China(Nos.U19A2070,62074025)the National Key Research&Development Program(No.2020YFA0309200)。
文摘With the rapid development of science and technology,the emergence of new application scenarios,such as robots,driverless vehicles and smart city,puts forward high requirements for artificial visual systems.Optoelectronic synaptic devices have attracted much attention due to their advantages in sensing,memory and computing integration.In this work,via band structure engineering and heterostructure designing,a heterojunction optoelectronic synaptic device based on Cu doped with n-type SrTiO_(3)(Cu:STO)film combined with p-type CuAlO_(2)(CAO)thin film was fabricated.It is found surprisingly that the optoelectronic device based on Cu:STO/CAO p-n heterojunction exhibits a rapid response of 2 ms,and that it has a wideband response from visible to near-infrared(NIR)region.Additionally,a series of important synaptic functions,including excitatory postsynaptic current(EPSC),paired-pulse facilitation(PPF),shortterm potentiation(STP)to long-term potentiation(LTP)transition,learning experience behavior and image sharpening,have been successfully simulated on the device.More importantly,the performance of the device remains still stable and reliable after several months which were stored at room temperature and atmospheric pressure.Based on these advantages,the optoelectronic synaptic devices demonstrated here provide great potential in the new generation of artificial visual systems.
