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用于光子神经形态系统的基于电致变色的光学可读微纤维突触装置。

Optically Readable Electrochromic-Based Microfiber Synaptic Device for Photonic Neuromorphic Systems.

作者信息

Shi Hui, Wang Banghu, Wang Xiaohong, Qiu Longzhen, Zheng Lei

机构信息

National Engineering Lab of Special Display Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, Academy of Opto-Electronic Technology, Hefei University of Technology, Hefei 230009, China.

Intelligent Interconnected Systems Laboratory of Anhui, Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Opto-Electronic Engineering, Hefei University of Technology, Hefei 230009, China.

出版信息

ACS Appl Mater Interfaces. 2023 Feb 10. doi: 10.1021/acsami.2c20451.

Abstract

Optical synaptic devices possess great potential in both artificial intelligence and neuromorphic photonics. In this work, an optically readable electrochromic-based microfiber synaptic device was designed by the combination of a multimode fiber and an electrochromic device and using an external voltage to control the transmission of light in the fiber. The proposed synaptic device has the ability to imitate various basic functions of the biological synapses, such as synaptic plasticity, and paired-pulse facilitation (PPF), as well as the transition from short-term memory to long-term memory. Moreover, the proposed device decodes the output optical signal with the international Morse code to express the signal "HFUT" in two ways, and a 3 × 3 array composed of this device can simulate the perceptual learning process. The device can be easily prepared for a wide range of applications, and the incorporated microfibers can be replaced by planar optical waveguides, making it easy to be integrated into a more complex and versatile photonic neuromorphic system.

摘要

光学突触器件在人工智能和神经形态光子学领域都具有巨大潜力。在这项工作中,通过将多模光纤和电致变色器件相结合,并利用外部电压控制光纤中的光传输,设计了一种基于电致变色的可光学读取的微纤维突触器件。所提出的突触器件能够模仿生物突触的各种基本功能,如突触可塑性和双脉冲易化(PPF),以及从短期记忆到长期记忆的转变。此外,所提出的器件用国际摩尔斯电码对输出光信号进行解码,以两种方式表达信号“HFUT”,并且由该器件组成的3×3阵列可以模拟感知学习过程。该器件易于制备以用于广泛的应用,并且所包含的微纤维可以被平面光波导替代,从而易于集成到更复杂、多功能的光子神经形态系统中。

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