Bio‐Inspired Full‐Spectrum Bidirectional Optoelectronic Synaptic Transistor for In‐Sensor Neuromorphic Vision

ABSTRACT Inspired by avian visual systems, wide‐spectrum bidirectional optoelectronic synaptic transistors (OSTs) have emerged as a transformative platform for neuromorphic vision processing. However, current artificial synaptic technologies remain constrained by fragmented control paradigms that rely on wavelength‐selective or electrical polarity‐dependent modulation, restricting their capacity for complex visual information processing. In this study, an organic 2D molecular crystal (2DMC) heterojunction is developed to achieve high‐performance full‐spectrum bidirectional OSTs. The high‐quality 2DMC heterostructure facilitates efficient exciton separation and diffusion, yielding remarkable ambipolar characteristics with an exceptional responsivity of 6.3 × 10 4 A W −1 under weak light. The bipolar heterostructure transistor design enables dynamic reconfiguration between excitatory and inhibitory synaptic behaviors through dual modulation mechanisms of spectral tuning and gate polarity control, successfully emulating bidirectional neuroplasticity features. The practical viability of this technology is demonstrated through implementation in a broad‐spectrum intelligent‐vehicle‐mounted vision system that achieves a classification accuracy of >90% for traffic objects across complex scenarios. This work not only provides an effective strategy for developing high‐performance bidirectional optoelectronic synapses but also paves the way for advanced neuromorphic computing and intelligent machine vision technologies.

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Publication Details

Journal
Advanced Materials
Published
2026-06-13
DOI
https://doi.org/10.1002/adma.73698
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Bio‐Inspired Full‐Spectrum Bidirectional Optoelectronic Synaptic Transistor for In‐Sensor Neuromorphic Vision

Zhengqian Tu, Y Zhang, Yujie Yan, Bing Liu et al.
Advanced Materials
Advanced Memory and Neural Computing
article

Bio‐Inspired Full‐Spectrum Bidirectional Optoelectronic Synaptic Transistor for In‐Sensor Neuromorphic Vision

Zhengqian Tu, Y Zhang, Yujie Yan, Bing Liu, Mingsheng Luo, Fangxu Yang, W HU, Meiqiu Dong, Changsong Gao, Yan Lin, Lingjie Sun, Cheng Xu, Ziwei Yu
article en

Abstract

ABSTRACT Inspired by avian visual systems, wide‐spectrum bidirectional optoelectronic synaptic transistors (OSTs) have emerged as a transformative platform for neuromorphic vision processing. However, current artificial synaptic technologies remain constrained by fragmented control paradigms that rely on wavelength‐selective or electrical polarity‐dependent modulation, restricting their capacity for complex visual information processing. In this study, an organic 2D molecular crystal (2DMC) heterojunction is developed to achieve high‐performance full‐spectrum bidirectional OSTs. The high‐quality 2DMC heterostructure facilitates efficient exciton separation and diffusion, yielding remarkable ambipolar characteristics with an exceptional responsivity of 6.3 × 10 4 A W −1 under weak light. The bipolar heterostructure transistor design enables dynamic reconfiguration between excitatory and inhibitory synaptic behaviors through dual modulation mechanisms of spectral tuning and gate polarity control, successfully emulating bidirectional neuroplasticity features. The practical viability of this technology is demonstrated through implementation in a broad‐spectrum intelligent‐vehicle‐mounted vision system that achieves a classification accuracy of >90% for traffic objects across complex scenarios. This work not only provides an effective strategy for developing high‐performance bidirectional optoelectronic synapses but also paves the way for advanced neuromorphic computing and intelligent machine vision technologies.

Advanced Materials
Jilin Normal University (CN), Guizhou Normal University (CN), Tianjin University (CN), Ji Hua Laboratory (CN), Jilin Engineering Normal University (CN), Xiamen University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Advanced Memory and Neural Computing
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