Recent advances in optoelectronic synapses: from advanced materials to neuromorphic applications

Abstract Inspired by the visual neurons of biological systems, optoelectronic synaptic devices integrate photoresponsive semiconductor materials to convert light into electrical signals, enabling biomimetic visual perception systems. Achieving memory retention and intelligent perceptual functions continues to pose a major hurdle in the advancement of neuromorphic artificial synapse devices. This review begins with an exploration of biological neural synapses, analyzing the fundamental characteristics and structures of biomimetic optoelectronic synapses. It then delves into the design of device and material structures to achieve postsynaptic current and memory behavior, elucidating their underlying mechanisms. Furthermore, the latest application scenarios of these devices are summarized, highlighting the opportunities and challenges in their future development. This review aims to provide a comprehensive understanding of the advancements in optoelectronic synapses, from material innovations to neuromorphic applications, paving the way for next‐generation artificial visual systems and neuromorphic computing.

Authors

Institutions

Publication Details

Journal
Rare Metals
Published
2025-07-14
DOI
https://doi.org/10.1007/s12598-025-03433-5
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent advances in optoelectronic synapses: from advanced materials to neuromorphic applications

Fengmei Su, Jiawei Wan, Dan Wang, Zongyao Wang
2 citations
Rare Metals
Advanced Memory and Neural Computing
1.46
article

Recent advances in optoelectronic synapses: from advanced materials to neuromorphic applications

Fengmei Su, Jiawei Wan, Dan Wang, Zongyao Wang
article en
2 citations

Abstract

Abstract Inspired by the visual neurons of biological systems, optoelectronic synaptic devices integrate photoresponsive semiconductor materials to convert light into electrical signals, enabling biomimetic visual perception systems. Achieving memory retention and intelligent perceptual functions continues to pose a major hurdle in the advancement of neuromorphic artificial synapse devices. This review begins with an exploration of biological neural synapses, analyzing the fundamental characteristics and structures of biomimetic optoelectronic synapses. It then delves into the design of device and material structures to achieve postsynaptic current and memory behavior, elucidating their underlying mechanisms. Furthermore, the latest application scenarios of these devices are summarized, highlighting the opportunities and challenges in their future development. This review aims to provide a comprehensive understanding of the advancements in optoelectronic synapses, from material innovations to neuromorphic applications, paving the way for next‐generation artificial visual systems and neuromorphic computing.

Rare MetalsVol. 44(10)
Shenzhen University (CN), Institute of Process Engineering (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 16%
Advanced Memory and Neural Computing
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.