Evidence map›Paper›PMID 39903743›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Neural Device Inspired by Neuronal Oscillatory Activity with Intrinsic Perception and Decision-Making.

Congtian Gu, Guoliang Ma, Mengze Zhang, Hu Shen, Liaoyuan Pu, Yanhe Song, Shilong Yan, Dakai Wang, Kaixian Ba, Bin Yu and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

12 authors.

Congtian GuState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.ORCID https://orcid.org/0009-0003-1815-2184
Guoliang MaState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.ORCID https://orcid.org/0009-0005-0371-3799
Mengze ZhangState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.
Hu ShenState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.
Liaoyuan PuState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.
Yanhe SongState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.ORCID https://orcid.org/0009-0005-9045-8836
Shilong YanState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.
Dakai WangKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Kaixian BaState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.
Bin YuState Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.
Zhiwu HanKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.
Luquan RenKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China.

Funding

Fundamental Innovative Research Development Project of Yanshan University 2024LGQN008Funded by Science Research Project of Hebei Education Department QN2025183Hebei Natural Science Foundation E2022203002Hebei Natural Science Foundation E2024203067National Excellent Natural Science Foundation of China 52122503National Natural Science Foundation of China 52305308National Natural Science Foundation of China 52475071National Natural Science Foundation of China 52475072Opening Project of the Key Laboratory of Bionic Engineering KF2023003Shijiazhuang Science and Technology Planning Project 241790727AYanzhao's Young Scientist Project 2023203258
6 · The paper itself

Abstract

Bionic neural devices often feature complex structures with multiple interfaces, requiring extensive post-processing. In this paper, a neural device with intrinsic perception and decision-making (NDIPD), inspired by neuronal oscillatory activity is introduced. The device utilizes alternating signals generated by coupling the human body with the power-frequency electromagnetic field as both a signal source and energy source, mimicking neuronal oscillatory activity. The peaks and valleys of the alternating signal are differentially modulated to replicate the baseline shift process in neuronal oscillatory activity. By comparing the amplitude of the peaks and valleys in the NDIPD's electrical output signal, the device achieves intrinsic perception and decision-making regarding the location of mechanical stimulation. This is accomplished using a single interface, which reduces data transmission, simplifies functionality, and eliminates the need for an external power supply. The NDIPD demonstrates a low-pressure detection limit (<0.02 N), fast response time (<20 ms), and exceptional stability (>200 000 cycles). It shows great potential for applications such as game control, UAV navigation, and virtual vehicle driving. The innovative energy supply method and sensing mechanism are expected to open new avenues in the development of bionic neural devices.

Indexed as

BionicsDecision MakingNeuronsPerceptionEquipment DesignHumansbaseline shiftbionic sensorsneural devicesneuronal oscillatory activitypower‐frequency electromagnetic field

Identifiers

PMID39903743
PMCPMC11948023

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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.