A Single OLED With Hybrid Synaptic Plasticity Enabling In Situ Neuromorphic Processing and Visualization

As the core interface for human-computer interaction, multitask intelligent display systems face increasingly stringent demands regarding precision and functional integration. However, in existing architectures, light-emitting units only act as passive display terminals. Endowing light-emitting devices with computing capabilities and realizing computing-as-display, thereby reducing transmission overhead and improving display precision, is the key to promoting the further development of this field. Inspired by the human brain, we innovatively report an organic light-emitting diode featuring both long- and short-term synaptic plasticity and synaptic weight-driven electroluminescence. By engineering charge-trapping structures and heterojunction potential wells within a single OLED device, we establish dual-tier synaptic response output channels for information processing, operating independently on second- and millisecond-level timescales under electrical and optical signal modulation, respectively. Following information processing, the processed results are visualized via a globally driven electroluminescence mechanism enabled by synaptic weight modulation. We introduce the Multi-Task Display Fidelity index as a universal metric to quantify the cooperative accuracy between processing and display, achieving a value of 90.86%. Furthermore, the processing-display coupling index of the device surpasses the corresponding index of mainstream CMOS architectures by 67.8%. This work demonstrates the immense potential of hybrid synaptic plasticity OLEDs for multitask intelligent display.

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Publication Details

Journal
Advanced Materials
Published
2026-07-23
DOI
https://doi.org/10.1002/adma.74244
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Single OLED With Hybrid Synaptic Plasticity Enabling In Situ Neuromorphic Processing and Visualization

Huipeng Chen, Li J, Zhenjia Chen, Shiyang Sun et al.
Advanced Materials
Advanced Memory and Neural Computing
article

A Single OLED With Hybrid Synaptic Plasticity Enabling In Situ Neuromorphic Processing and Visualization

Huipeng Chen, Li J, Zhenjia Chen, Shiyang Sun, Chuiying Yang, Shengji Yang, Peidong Kang, Xin Ai
article en

Abstract

As the core interface for human-computer interaction, multitask intelligent display systems face increasingly stringent demands regarding precision and functional integration. However, in existing architectures, light-emitting units only act as passive display terminals. Endowing light-emitting devices with computing capabilities and realizing computing-as-display, thereby reducing transmission overhead and improving display precision, is the key to promoting the further development of this field. Inspired by the human brain, we innovatively report an organic light-emitting diode featuring both long- and short-term synaptic plasticity and synaptic weight-driven electroluminescence. By engineering charge-trapping structures and heterojunction potential wells within a single OLED device, we establish dual-tier synaptic response output channels for information processing, operating independently on second- and millisecond-level timescales under electrical and optical signal modulation, respectively. Following information processing, the processed results are visualized via a globally driven electroluminescence mechanism enabled by synaptic weight modulation. We introduce the Multi-Task Display Fidelity index as a universal metric to quantify the cooperative accuracy between processing and display, achieving a value of 90.86%. Furthermore, the processing-display coupling index of the device surpasses the corresponding index of mainstream CMOS architectures by 67.8%. This work demonstrates the immense potential of hybrid synaptic plasticity OLEDs for multitask intelligent display.

Advanced Materials
Tan Kah Kee Innovation Laboratory (CN), Fuzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
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