Evidence map›Paper›PMID 42183948›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Low-Latency Visuotactile Neuron Using Self-Oscillating Memristor.

Pengzhan Li, Anping Huang, Jiangshun Huang, Qiaofeng Yang, Yuhao Zhang, Qin Gao, Zhisong Xiao, Paul K Chu, Xingwang Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

9 authors.

Pengzhan LiSchool of Physics, Beihang University, Beijing, China.ORCID https://orcid.org/0009-0002-8854-9147
Anping HuangSchool of Physics, Beihang University, Beijing, China.
Jiangshun HuangSchool of Physics, Beihang University, Beijing, China.
Qiaofeng YangSchool of Physics, Beihang University, Beijing, China.
Yuhao ZhangSchool of Physics, Beihang University, Beijing, China.
Qin GaoSchool of Applied Science, Beijing Information Science & Technology University, Beijing, China.
Zhisong XiaoSchool of Physics, Beihang University, Beijing, China.
Paul K ChuDepartment of Physics, Department of Materials Science and Engineering, and Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID https://orcid.org/0000-0002-5581-4883
Xingwang ZhangState Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-7873-5566

Funding

Aerospace Science and Technology Corporation SAST2023-030City University of Hong Kong Donation Research Grants 9220061City University of Hong Kong Donation Research Grants DON-RMG 9229021National Key Research and Development Program of China 2021YFB3900701National Natural Science Foundation of China 52403315National Natural Science Foundation of China 52473251
6 · The paper itself

Abstract

Low latency perception of visual and tactile information is a prerequisite for embodied intelligence, and combined with bio-inspired spiking neural network (SNN), it enables efficient interaction with the physical environment. However, achieving low-latency perception and spike conversion of external stimuli at the hardware level remains challenging, while biological systems utilize the time-to-first-spike (TTFS) and firing rate of neurons to perceive surrounding signals in real time. Herein, a self-oscillating neuron based on NbO

Indexed as

NeuronsTouchAction PotentialsHumansNeural Networks, Computerlow latency neuronmultisensory perceptionNbOx mott memristorsneuromorphic computingspiking neural network

Identifiers

PMID42183948
PMCPMC13360568

What OpenQuestion holds

Textmetadata
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.