Retina-Inspired Artificial Optoelectronic Neurons With Broad Spectral Response for Visual Image Pre-Processing

IF 4.1 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Electron Device Letters Pub Date : 2025-01-09 DOI:10.1109/LED.2024.3525088

Guocheng Zhang;Jianchuan Tang;Binglin Lai;Hongyu Wang;Zili Zeng;Changqiang Su;Xin Yi;Yujie Yan;Huipeng Chen

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引用次数: 0

Abstract

Inspired by the human retina, the development of neuromorphic vision systems featuring image perception, memory, and processing functions aims to address the limitations of traditional artificial vision systems concerning circuit simplification, device integration, and power consumption. The narrow spectral response of optoelectronic neurons, an important hardware basis for neuromorphic vision systems, limits their application in broad-spectrum artificial visual perception. In this study, we present an artificial optoelectronic neuron that demonstrates broadband sensing capabilities with a response range encompassing ultraviolet, visible, and near-infrared regions. Furthermore, we have designed a

$64\times 64$

array of optoelectronic neurons capable of effectively simulating the light perception and image pre-processing functions (enhance image contrast), of the retina. This work is important for improving image processing efficiency and realizing neuromorphic vision systems with broadband perception.

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来源期刊

IEEE Electron Device Letters 工程技术-工程：电子与电气

CiteScore

8.20

自引率

10.20%

发文量

551

审稿时长

1.4 months

期刊介绍： IEEE Electron Device Letters publishes original and significant contributions relating to the theory, modeling, design, performance and reliability of electron and ion integrated circuit devices and interconnects, involving insulators, metals, organic materials, micro-plasmas, semiconductors, quantum-effect structures, vacuum devices, and emerging materials with applications in bioelectronics, biomedical electronics, computation, communications, displays, microelectromechanics, imaging, micro-actuators, nanoelectronics, optoelectronics, photovoltaics, power ICs and micro-sensors.