- 必威体育下载

姓名
邮箱
手机号码
标题
留言内容
验证码

Abstract

Neuromorphic computing system, inspired by human brain, has the capability of breaking through the bottlenecks of conventional von Neumann architecture, which can improve the energy efficiency of data processing. Novel neuromorphic electronic components are the hardware foundation of efficient neuromorphic computation. Optoelectronic memristive device integrates the functions of sensing, memorizing and computing and is considered as a promising hardware candidate for neuromorphic vision. Herein, the recent research progress of optoelectronic memristive device for in-sensor computing are reviewed, including optoelectronic materials and mechanism, optoelectronic memristive device/characteristics as well as functionality and application of in-sensor computing. We first review the optoelectronic materials and corresponding memristive mechanism, including photon-ion coupling and photon-electron coupling type. Then optoelelctronic and all-optical modulated memristive device are introduced according to the modulation mode. Moreover, we exhibit the applications of optoelectronic device in cognitive function simulation, optoelectronic logic operation, neuromorphic vision, object tracking, etc. Finally, we summarize the advantages/challenges of optoelectronic memristor and prospect the future development.

Keywords:

Authors and contacts

Corresponding author:Wang Zhong-Qiang,wangzq752@nenu.edu.cn

Funds:Project supported by the fund from the Ministry of Science and Technology of China (Grant No. 2018YFE0118300) and the National Natural Science Foundation of China (Grant Nos. 11974072, U19A2091).

FullText HTML: translate this paragraph

References

[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]
[61]
[62]
[63]
[64]
[65]
[66]
[67]
[68]
[69]
[70]
[71]
[72]
[73]
[74]
[75]
[76]
[77]
[78]
[79]
[80]
[81]
[82]
[83]
[84]
[85]
[86]
[87]
[88]
[89]
[90]
[91]
[92]
[93]
[94]
[95]
[96]
[97]
[98]
[99]
[100]
[101]
[102]
[103]
[104]
[105]
[106]
[107]
[108]
[109]
[110]
[111]
[112]
[113]
[114]
[115]
[116]

Cited By

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]
[61]
[62]
[63]
[64]
[65]
[66]
[67]
[68]
[69]
[70]
[71]
[72]
[73]
[74]
[75]
[76]
[77]
[78]
[79]
[80]
[81]
[82]
[83]
[84]
[85]
[86]
[87]
[88]
[89]
[90]
[91]
[92]
[93]
[94]
[95]
[96]
[97]
[98]
[99]
[100]
[101]
[102]
[103]
[104]
[105]
[106]
[107]
[108]
[109]
[110]
[111]
[112]
[113]
[114]
[115]
[116]

[1]	Wang Meng-Jiao, Yang Chen, He Shao-Bo, Li Zhi-Jun.A novel compound exponential locally active memristor coupled Hopfield neural network. Acta Physica Sinica, 2024, 73(13): 130501.doi:10.7498/aps.73.20231888
[2]	Wei Wei, Feng Guan, Xin Fang.The Integrated Vibration Absorption and Isolation Design Method for Metamaterial Beams Based on Bandgap wave-insulating Vibration Isolatior. Acta Physica Sinica, 2024, 73(22): .doi:10.7498/aps.73.20241135
[3]	Guo Hui-Meng, Liang Yan, Dong Yu-Jiao, Wang Guang-Yi.Simplification of Chua corsage memristor and hardware implementation of its neuron circuit. Acta Physica Sinica, 2023, 72(7): 070501.doi:10.7498/aps.72.20222013
[4]	Jiang Bi-Yi, Zhou Fei-Chi, Chai Yang.Application of neuromorphic resistive random access memory in image processing. Acta Physica Sinica, 2022, 71(14): 148504.doi:10.7498/aps.71.20220463
[5]	Wu Chang-Chun, Zhou Pu-Jun, Wang Jun-Jie, Li Guo, Hu Shao-Gang, Yu Qi, Liu Yang.Memristor based spiking neural network accelerator architecture. Acta Physica Sinica, 2022, 71(14): 148401.doi:10.7498/aps.71.20220098
[6]	Ren Kuan, Zhang Wo-Yu, Wang Fei, Guo Ze-Yu, Shang Da-Shan.Next-generation reservoir computing based on memristor array. Acta Physica Sinica, 2022, 71(14): 140701.doi:10.7498/aps.71.20220082
[7]	Wang Shi-Chang, Lu Zhen-Zhou, Liang Yan, Wang Guang-Yi.Neuromorphic behaviors of N-type locally-active memristor. Acta Physica Sinica, 2022, 71(5): 050502.doi:10.7498/aps.71.20212017
[8]	Zhu Jia-Xue, Zhang Xu-Meng, Wang Rui, Liu Qi.Flexible memristive spiking neuron for neuromorphic sensing and computing. Acta Physica Sinica, 2022, 71(14): 148503.doi:10.7498/aps.71.20212323
[9]	Wang Tong, Wen Juan, Lü Kang, Chen Jian-Zhong, Wang Liang, Guo Xin.Bio-inspired sensory systems with integrated capabilities of sensing, data storage, and processing. Acta Physica Sinica, 2022, 71(14): 148702.doi:10.7498/aps.71.20220281
[10]	Chen Yang-Yang, He Yu-Hui, Miao Xiang-Shui, Yang Dao-Hong.3D-NAND flash memory based neuromorphic computing. Acta Physica Sinica, 2022, 71(21): 210702.doi:10.7498/aps.71.20220974
[11]	Wen Xin-Yu, Wang Ya-Sai, He Yu-Hui, Miao Xiang-Shui.Memristive brain-like computing. Acta Physica Sinica, 2022, 71(14): 140501.doi:10.7498/aps.71.20220666
[12]	Shen Liu-Feng, Hu Ling-Xiang, Kang Feng-Wen, Ye Yu-Min, Zhuge Fei.Optoelectronic neuromorphic devices and their applications. Acta Physica Sinica, 2022, 71(14): 148505.doi:10.7498/aps.71.20220111
[13]	Zhang Yu-Qi, Wang Jun-Jie, Lü Zi-Yu, Han Su-Ting.Multimode modulated memristors for in-sensor computing system. Acta Physica Sinica, 2022, 71(14): 148502.doi:10.7498/aps.71.20220226
[14]	Hu Wei, Liao Jian-Bin, Du Yong-Qian.An analytic modeling strategy for memristor cell applicable to large-scale memristive networks. Acta Physica Sinica, 2021, 70(17): 178505.doi:10.7498/aps.70.20210116
[15]	Zhu Wei, Guo Tian-Tian, Liu Lan, Zhou Rong-Rong.Al-based memristor applied to habituation sensory nervous system. Acta Physica Sinica, 2021, 70(6): 068502.doi:10.7498/aps.70.20201961
[16]	Ren Kuan, Zhang Ke-Jia, Qin Xi-Zi, Ren Huan-Xin, Zhu Shou-Hui, Yang Feng, Sun Bai, Zhao Yong, Zhang Yong.Research progress of neuromorphic computation based on memcapacitors. Acta Physica Sinica, 2021, 70(7): 078701.doi:10.7498/aps.70.20201632
[17]	Zhu Lei-Jie, Wang Fa-Qiang.Design and analysis of new meminductor model based on Knowm memristor. Acta Physica Sinica, 2019, 68(19): 198501.doi:10.7498/aps.68.20190793
[18]	Xu Wei, Wang Yu-Qi, Li Yue-Feng, Gao Fei, Zhang Miao-Cheng, Lian Xiao-Juan, Wan Xiang, Xiao Jian, Tong Yi.Design of novel memristor-based neuromorphic circuit and its application in classical conditioning. Acta Physica Sinica, 2019, 68(23): 238501.doi:10.7498/aps.68.20191023
[19]	Wang Xiao-Yuan, Yu Jun, Wang Guang-Yi.Simulink modeling of memristor, memcapacitor, meminductor and their characteristics analysis. Acta Physica Sinica, 2018, 67(9): 098501.doi:10.7498/aps.67.20172674
[20]	Sun Jian, Liu Wei-Qiang.Investigation on integral model of heat-pipe-cooled leading edge of hypersonic vehicle. Acta Physica Sinica, 2013, 62(7): 074401.doi:10.7498/aps.62.074401

Catalog

Vol. 71, Issue 14 - 2022-07-20

Metrics

Abstract views:14221
PDF Downloads:1168
Cited By:0

Search

Article