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Shan Xu, Zhiyuan Guan, Wenqi Yang, Zhenyu Zhou, Zixuan Zhang, Lulu Wang, Xiaoxu Li, Yuchen Li, Xiaobing Yan

Abstract read

In one paragraph

Article in Research (Washington, D.C.), 2025. 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

9 authors.

Shan XuCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Zhiyuan GuanCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Wenqi YangCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Zhenyu ZhouCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Zixuan ZhangCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Lulu WangCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Xiaoxu LiCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Yuchen LiCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.

Xiaobing YanCollege of Electron and Information Engineering, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, People's Republic of China.ORCID https://orcid.org/0000-0002-6335-336X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual bionic systems are of crucial importance in the development of artificial intelligence for environmental perception. However, the traditional artificial vision system has problems such as complex system and high energy consumption due to the physical separation of image perception, storage, and processing unit. In this work, we designed an ITO/ZTO/ZnO/ITO/Mica structure optoelectronic synaptic device, which is capable of integrating optical sensing, information storage, and logic computation. Utilizing its excellent light response characteristics, the PPF, learning-experience behavior, and Pavlov experiment were successfully simulated. In a 3 × 5 array, the "F" hidden in "E" was identified by using 2 different lighting conditions, successfully simulating color recognition. Furthermore, a further design of an automatic meeting vehicle system based on the embedded platform was carried out, and the meeting vehicle behavior was successfully achieved by utilizing the light response of the ZTO device. This discovery demonstrates the potential of ZTO devices in simulating the behavior of biological synapses, providing new avenue for neuroscience research and the development of bioelectronic devices.

Identifiers

PMID40933238

DOI10.34133/research.0884

PMCPMC12417634

What OpenQuestion holds

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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.