Evidence map›Paper›PMID 41663399›Full record

ArticleNature communications2026

Homogeneous integration of two-dimensional material-based optoelectronic neurons and ferroelectric synapses for neuromorphic vision.

Jiarong Wang, Keqin Liu, Pek Jun Tiw, Dawei He, Lianfeng Yu, Bowen Wang, Jinxuan Bai, Teng Zhang, Xin Shan, Yang Yang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Jiarong Wang *New Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.ORCID 0009-0001-7249-5300
Keqin Liu *New Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.ORCID 0000-0002-7995-7125
Pek Jun Tiw *New Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.ORCID 0000-0002-7302-9467
Dawei HeKey Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, China.
Lianfeng YuNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.
Bowen WangNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.
Jinxuan BaiKey Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, China.
Teng ZhangNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.ORCID 0000-0003-2011-5940
Xin ShanCenter for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, Beijing, China.
Yang YangNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.
Yuzhe WangNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.
Yongsheng WangKey Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, China. yshwang@bjtu.edu.cn.
Yaoyu TaoNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China. taoyaoyutyy@pku.edu.cn.ORCID 0000-0001-7500-5250
Xiaoxian ZhangKey Laboratory of Luminescence and Optical Information, Ministry of Education, Institute of Optoelectronic Technology, Beijing Jiaotong University, Beijing, China. zhxiaoxian@bjtu.edu.cn.ORCID 0000-0002-4215-8274
Yuchao YangNew Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China. yuchaoyang@pku.edu.cn.ORCID 0000-0003-4674-4059

Funding

National Natural Science Foundation of China (National Science Foundation of China) 92164302
6 · The paper itself

Abstract

Dynamic vision processing at the edge requires in-sensor spiking neural networks (SNNs) to achieve high energy efficiency and rapid processing. Although optoelectronic leaky integrate-and-fire (LIF) neurons are essential for optical sensing and sparse coding, their practical utility has been hindered by incomplete emulation of biological behaviors and integration difficulties with synaptic devices. Here, we show an optoelectronic LIF neuron based on a MoS

Indexed as

Neural Networks, ComputerNeuronsOptical ImagingVision, OcularAction PotentialsAnimalsDisulfidesHumansMolybdenumSynapsesDisulfidesMolybdenummolybdenum disulfide

Identifiers

PMID41663399
PMCPMC13000312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.