Artificial Nervous Systems.

Lu Yang, Qingwen Cheng, Yue Li, Ning Wu, Zhipeng Xu, Wentao Xu

Abstract readReview

In one paragraph

Review 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 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.

Artificial Nervous Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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

6 authors.

Lu YangInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.

Qingwen ChengInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.

Yue LiInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.

Ning WuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.

Zhipeng XuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.

Wentao XuInstitute of Photoelectronic Thin Film Devices and Technology, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, 300350, China.ORCID https://orcid.org/0000-0002-1054-6037

Funding

China Postdoctoral Science Foundation 2024M761520Fundamental Research Funds for the Central Universities, Nankai University BEG124401Fundamental Research Funds for the Central Universities, Nankai University BEG124901National Key R&D Program of China 2022YFA1204500National Key R&D Program of China 2022YFA1204504National Key R&D Program of China 2022YFE0198200National Science Fund for Distinguished Young Scholars of China T2125005Postdoctoral Fellowship Program of CPSF GZC20250388Shenzhen Science and Technology Project JCYJ20240813165508012

6 · The paper itself

Abstract

Electronic devices and systems that can emulate the complex cognitive abilities of nervous systems have been an important research topic in recent years. Artificial nervous systems with multimodal perception, neural signal processing, and reflex-driven functionalities have been established by integrating multimodal sensors, neuromorphic synaptic devices, and effector units. The important value of artificial nervous systems is mainly embodied in bioinspired information processing, transmission, and environmental adaptation aspects. However, since this field is still in its early stages, more exploration is needed to realize artificial nervous systems with autonomous adaptability, intelligent feedback, and bio-interfacing applications. This review provides a comprehensive overview of recent advancements, spanning from the fundamental device structure and mechanism of synaptic devices to bio-inspired artificial nervous systems. Finally, a brief perspective of this research field is provided.

Indexed as

BiomimeticsNeural Networks, ComputerHumansartificial nervous systemmultimodal perceptionneural signal processingneuromorphic devicesynaptic device

Identifiers

PMID40946192

DOI10.1002/advs.202511478

PMCPMC12561383

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.