All-optically controlled artificial synaptic device based on PZT photochromism for biomimetic visual memory imaging systems

X Xiyue Fang (Chongqing Key Laboratory of Micro & Nano Structure Optoelectronics, School of Physical Science and Technology, Southwest University 1 , Chongqing 400715,) S Shan Yang (Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University) J Jiarong Zhang C Caixia Xu Z Zhengguo Xiao L Long Xu

Abstract

Neuromorphic vision systems are critical for high-efficiency edge intelligence, yet mainstream electrically controlled synaptic devices suffer from irreversible ion migration and poor biomimetic imaging capability. Herein, we propose an all-optically controlled artificial synaptic device based on the photochromic effect of lead zirconate titanate ceramics. By adopting an asymmetric strategy of 395 nm ultraviolet light writing and 808 nm infrared light erasing, it simulates biological synapses’ bidirectional plasticity. A biomimetic visual memory imaging system was further constructed, which exhibits long-term paired-pulse facilitation (PPF) beyond short-term plasticity. The PPF index (18%–85%) is flexibly tunable via pulse interval, duration, and background light intensity, realizing dynamic imaging that mimics the brain's memory-forgetting-reconsolidation process. This all-optical scheme offers a highly programmable platform for biomimetic visual systems integrating sensing, memory, and computation.

Article Details

Volume / Issue Vol. 139, Issue 24
Published June 28, 2026
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (6)

X

Xiyue Fang

Chongqing Key Laboratory of Micro & Nano Structure Optoelectronics, School of Physical Science and Technology, Southwest University 1 , Chongqing 400715,

S

Shan Yang

Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University

J

Jiarong Zhang

C

Caixia Xu

Z

Zhengguo Xiao

L

Long Xu