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用于环境自适应人工视网膜感知应用的集成传感器计算光电设备。

Integrated In-Sensor Computing Optoelectronic Device for Environment-Adaptable Artificial Retina Perception Application.

机构信息

State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.

National Integrated Circuit Innovation Center, No. 825 Zhangheng Road, Shanghai 201203, China.

出版信息

Nano Lett. 2022 Jan 12;22(1):81-89. doi: 10.1021/acs.nanolett.1c03240. Epub 2021 Dec 28.

Abstract

With the development and application of artificial intelligence, there is an appeal to the exploitation of various sensors and memories. As the most important perception of human beings, vision occupies more than 80% of all the received information. Inspired by biological eyes, an artificial retina based on 2D Janus MoSSe was fabricated, which could simulate functions of visual perception with electronic/ion and optical comodulation. Furthermore, inspired by human brain, sensing, memory, and neuromorphic computing functions were integrated on one device for multifunctional intelligent electronics, which was beneficial for scalability and high efficiency. Through the formation of faradic electric double layer (EDL) at the metal-oxide/electrolyte interfaces could realize synaptic weight changes. On the basis of the optoelectronic performances, light adaptation of biological eyes, preprocessing, and recognition of handwritten digits were implemented successfully. This work may provide a strategy for the future integrated sensing-memory-processing device for optoelectronic artificial retina perception application.

摘要

随着人工智能的发展和应用,人们呼吁开发各种传感器和存储器。作为人类最重要的感知方式,视觉占据了所有接收信息的 80%以上。受生物眼睛的启发,制备了一种基于二维 Janus MoSSe 的人工视网膜,它可以通过电子/离子和光协同调制来模拟视觉感知功能。此外,受人脑的启发,在一个设备上集成了传感、存储和神经形态计算功能,用于多功能智能电子设备,这有利于提高可扩展性和效率。通过在金属氧化物/电解质界面形成法拉第双电层(EDL),可以实现突触权重的变化。在光电性能的基础上,成功实现了生物眼睛的光适应、预处理和手写数字识别。这项工作可能为光电人工视网膜感知应用的未来集成传感-存储-处理设备提供了一种策略。

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