Evidence map›Paper›PMID 42086579›Full record

ArticleNature communications2026

Biomimetic-voltage nitride-enhanced memristor arrays for femtojoule in-memory biosignal processing.

Zijian Wang, Zhejia Zhang, Guobin Zhang, Xuemeng Fan, Pengtao Li, Baicheng Zhu, Yi Tong, Panpan Zhang, Dawei Gao, Bin Yu and 3 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. 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

13 authors.

Zijian WangCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.
Zhejia ZhangCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0009-0008-1153-0652
Guobin ZhangCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.
Xuemeng FanCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.
Pengtao LiCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.
Baicheng ZhuCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.
Yi TongSuzhou lab, Suzhou, Jiangsu, 215123, China.
Panpan ZhangSchool of Integrated Circuits, Beijing University of Posts and Telecommunications, Beijing, China.ORCID http://orcid.org/0009-0000-5449-2176
Dawei GaoCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.
Bin YuCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0003-0237-6311
Jiuren ZhouHangzhou Institute of Technology, Xidian University, Hangzhou, China. zhoujiuren@163.com.ORCID http://orcid.org/0000-0002-0915-5354
Qing WanYongjiang Laboratory, Ningbo, Zhejiang, China. qing-wan@ylab.ac.cn.
Yishu ZhangCollege of Integrated Circuits, Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, Zhejiang, China. zhangyishu@zju.edu.cn.ORCID http://orcid.org/0000-0001-8774-7374

Funding

National Natural Science Foundation of China (National Science Foundation of China) 92364204 and 62204219
6 · The paper itself

Abstract

Edge audio recognition demands extreme energy efficiency and noise resilience. Conventional separate denoising and recognition modules incur high overhead and latency, hindering deployment on resource-constrained edge devices. Inspired by biological audition, here we show a memristor-based neuromorphic system that monolithically integrates on-chip audio denoising and recognition. Our Pt/IGZO/SiN

Identifiers

PMID42086579
PMCPMC13351000

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.