Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

ABSTRACT Driven by the rapid progress of artificial intelligence and robotics, neuromorphic vision systems are gaining significant attention for enabling efficient visual information processing in complex and dynamic environments. In particular, optoelectronic devices that emulate the functionality of the biological retina are essential for achieving efficient neuromorphic visual processing. Here, we report an optoelectronic synaptic memtransistor (OSMT)‐based neuromorphic vision system for image processing applications. By integrating photoresponsive indium–gallium–zinc–oxide (IGZO) as the channel material with a hafnium oxide (HfO 2 ) contact‐engineered architecture, the OSMT exhibits optically and electrically tunable resistive states, enabling stable and controllable synaptic weight modulation for artificial neural network (ANN) implementation. Benefiting from reliable optoelectronic synaptic characteristics, ANN simulations achieve a handwritten digit recognition accuracy of 92.17%. Furthermore, a 6 × 6 OSMT array demonstrates neuromorphic image processing capabilities, including contrast enhancement. These results highlight the potential of OSMTs as key building blocks for intelligent machine vision systems, offering new opportunities for advanced robotic platforms and human–machine interfaces.

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Publication Details

Journal
Advanced Science
Published
2026-06-25
DOI
https://doi.org/10.1002/advs.76218
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

D. Kang, In-Soo Kim, Sung Kyu Park, Myung‐Gil Kim et al.
Advanced Science
Advanced Memory and Neural Computing
article

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

D. Kang, In-Soo Kim, Sung Kyu Park, Myung‐Gil Kim, San Nam, Yong‐Hoon Kim, Dayul Nam
article en

Abstract

ABSTRACT Driven by the rapid progress of artificial intelligence and robotics, neuromorphic vision systems are gaining significant attention for enabling efficient visual information processing in complex and dynamic environments. In particular, optoelectronic devices that emulate the functionality of the biological retina are essential for achieving efficient neuromorphic visual processing. Here, we report an optoelectronic synaptic memtransistor (OSMT)‐based neuromorphic vision system for image processing applications. By integrating photoresponsive indium–gallium–zinc–oxide (IGZO) as the channel material with a hafnium oxide (HfO 2 ) contact‐engineered architecture, the OSMT exhibits optically and electrically tunable resistive states, enabling stable and controllable synaptic weight modulation for artificial neural network (ANN) implementation. Benefiting from reliable optoelectronic synaptic characteristics, ANN simulations achieve a handwritten digit recognition accuracy of 92.17%. Furthermore, a 6 × 6 OSMT array demonstrates neuromorphic image processing capabilities, including contrast enhancement. These results highlight the potential of OSMTs as key building blocks for intelligent machine vision systems, offering new opportunities for advanced robotic platforms and human–machine interfaces.

Advanced Science
Chung-Ang University (KR), UConn Health (US), Sungkyunkwan University (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
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Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors — D. Kang, In-Soo Kim, et al. · Advanced Science (2026) | TGRS Research Map | TGRS