Curved neuromorphic image sensor array using a MoS(2)-organic heterostructure inspired by the human visual recognition system.
Curved neuromorphic image sensor array using a MoS(2)-organic heterostructure inspired by the human visual recognition system.
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DOI：
10.1038/s41467-020-19806-6
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发表时间：
2020-11-23
影响因子：
16.6
通讯作者：
Kim DH
中科院分区：
文献类型：
--
作者：
Choi C;Leem J;Kim M;Taqieddin A;Cho C;Cho KW;Lee GJ;Seung H;Bae HJ;Song YM;Hyeon T;Aluru NR;Nam S;Kim DH
传统的成像和识别系统需要大量的数据存储、预处理和芯片到芯片通信，以及用多个透镜进行防像差光聚焦，以从大量的光学输入中识别物体。这是因为单独的芯片（即，平面图像传感器阵列、存储设备和CPU）与复杂的光学器件相结合，应该独立地捕获、存储和处理大量图像信息。相比之下，人类视觉采用高效的成像和识别过程。在这里，受人类视觉识别系统的启发，我们提出了一种新的成像设备，通过赋予弯曲的图像传感器阵列上的神经形态数据处理功能，进行有效的图像采集和数据预处理。弯曲的神经形态图像传感器阵列基于MoS 2和聚（1，3，5-三甲基-1，3，5-三乙烯基环三硅氧烷）的异质结构。弯曲的神经形态图像传感器阵列的特点是光子触发的突触可塑性，由于其准线性的时间依赖性的光电流产生和延长的光电流衰减，起源于电荷捕获在MoS 2-有机垂直堆栈。与平凸透镜集成的弯曲神经形态图像传感器阵列从一组噪声光学输入导出预处理图像，而无需冗余数据存储、处理和通信，也无需复杂的光学器件。所提出的成像设备可以大大提高图像采集和识别过程的效率，向下一代机器视觉迈进了一步。设计高效的仿生视觉识别系统仍然是一个挑战。在这里，作者提出了一种弯曲的神经形态图像传感器阵列的基础上的异质结构的二硫化钼和pV 3D 3集成了一个平凸透镜的有效的图像采集和数据预处理。
Conventional imaging and recognition systems require an extensive amount of data storage, pre-processing, and chip-to-chip communications as well as aberration-proof light focusing with multiple lenses for recognizing an object from massive optical inputs. This is because separate chips (i.e., flat image sensor array, memory device, and CPU) in conjunction with complicated optics should capture, store, and process massive image information independently. In contrast, human vision employs a highly efficient imaging and recognition process. Here, inspired by the human visual recognition system, we present a novel imaging device for efficient image acquisition and data pre-processing by conferring the neuromorphic data processing function on a curved image sensor array. The curved neuromorphic image sensor array is based on a heterostructure of MoS2 and poly(1,3,5-trimethyl-1,3,5-trivinyl cyclotrisiloxane). The curved neuromorphic image sensor array features photon-triggered synaptic plasticity owing to its quasi-linear time-dependent photocurrent generation and prolonged photocurrent decay, originated from charge trapping in the MoS2-organic vertical stack. The curved neuromorphic image sensor array integrated with a plano-convex lens derives a pre-processed image from a set of noisy optical inputs without redundant data storage, processing, and communications as well as without complex optics. The proposed imaging device can substantially improve efficiency of the image acquisition and recognition process, a step forward to the next generation machine vision. Designing efficient bio-inspired visual recognition system remains a challenge. Here the authors present a curved neuromorphic image sensor array based on a heterostructure of MoS2 and pV3D3 integrated with a plano-convex lens for efficient image acquisition and data pre-processing.
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影响因子：
16.6
作者：
Lee J;Pak S;Lee YW;Cho Y;Hong J;Giraud P;Shin HS;Morris SM;Sohn JI;Cha S;Kim JM
通讯作者：
Kim JM
影响因子：
16.6
作者：
Choi, Moon Kee;Yang, Jiwoong;Kang, Kwanghun;Kim, Dong Chan;Choi, Changsoon;Park, Chaneui;Kim, Seok Joo;Chae, Sue In;Kim, Tae-Ho;Kim, Ji Hoon;Hyeon, Taeghwan;Kim, Dae-Hyeong
通讯作者：
Kim, Dae-Hyeong
影响因子：
38.3
作者：
Kim, Jungkil;Lee, Hoo-Cheol;Park, Hong-Gyu
通讯作者：
Park, Hong-Gyu
影响因子：
34.3
作者：
Kim, Min Sung;Lee, Gil Ju;Kim, Dae-Hyeong
通讯作者：
Kim, Dae-Hyeong
影响因子：
16.6
作者：
Choi, Changsoon;Choi, Moon Kee;Kim, Dae-Hyeong
通讯作者：
Kim, Dae-Hyeong