Evidence map›Paper›PMID 39908388›Full record

ArticleScience advances2025

Bio-plausible reconfigurable spiking neuron for neuromorphic computing.

Yu Xiao, Yize Liu, Bihua Zhang, Peng Chen, Huaze Zhu, Enhui He, Jiayi Zhao, Wenju Huo, Xiaofei Jin, Xumeng Zhang and 7 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. X-Ray Irradiation Improved WSeNanomaterials (Basel, Switzerland) · 2025
    Article
  9. Review
  10. 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

17 authors.

Yu XiaoCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0009-0009-2292-6588
Yize LiuState Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou, China.ORCID 0009-0002-7974-520X
Bihua ZhangCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0009-0007-3663-1372
Peng ChenCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0000-0001-7550-6522
Huaze ZhuSchool of Engineering, Westlake University, Hangzhou, China.ORCID 0009-0009-0115-6748
Enhui HeState Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou, China.ORCID 0000-0002-7870-5284
Jiayi ZhaoCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0009-0007-0682-8676
Wenju HuoCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Xiaofei JinCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Xumeng ZhangFrontier Institute of Chip and System, Fudan University, Shanghai, China.ORCID 0000-0002-3828-151X
Hao JiangFrontier Institute of Chip and System, Fudan University, Shanghai, China.ORCID 0000-0002-2110-0057
De MaCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Qian ZhengCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Huajin TangCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Peng LinCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0000-0002-0679-8063
Wei KongSchool of Engineering, Westlake University, Hangzhou, China.ORCID 0000-0002-7965-4407
Gang PanCollege of Computer Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0000-0002-4049-6181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological neurons use diverse temporal expressions of spikes to achieve efficient communication and modulation of neural activities. Nonetheless, existing neuromorphic computing systems mainly use simplified neuron models with limited spiking behaviors due to high cost of emulating these biological spike patterns. Here, we propose a compact reconfigurable neuron design using the intrinsic dynamics of a NbO

Indexed as

Action PotentialsModels, NeurologicalNeural Networks, ComputerNeuronsHumans

Identifiers

PMID39908388
PMCPMC11797559

What OpenQuestion holds

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Registered trials

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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.