Evidence map›Paper›PMID 42490729›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

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

Peidong Kang, Zhenjia Chen, Chuiying Yang, Shengji Yang, Shiyang Sun, Jiahang Li, Xin Ai, Huipeng Chen

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peidong KangInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0009-0000-8748-7007
Zhenjia ChenInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.
Chuiying YangInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0009-0000-6174-030X
Shengji YangInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.
Shiyang SunInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.
Jiahang LiInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0009-0002-7814-3477
Xin AiInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.
Huipeng ChenInstitute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0000-0003-1706-3174

Funding

National Natural Science Foundation of China 62374033National Natural Science Foundation of China T2525007
6 · The paper itself

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.

Indexed as

hybrid Synaptic Plasticityin situ neuromorphic processingintelligent displayorganic light‐emitting diodevisualization

Identifiers

PMID42490729
PMCPMC13532477

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.