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Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing.

Overview

Authors: Yunxiao Dong1, Tianci Wang1, Jian Xia1,2, Zixuan Wang1, Chaohui Su1, Zhiyuan Li1, Gongmin Li1, Wei Tang1, Jie Gong1, Zilong Yu1, Beining Zhang1, Qingyang Li1, Xiangshui Miao1, Rui Yang1
ORCID iDs: Jian Xia, Xiangshui Miao, Rui Yang
  1. School of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China
  2. Hubei Key Laboratory of Energy Storage and Power Battery, School of Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan, 442002 China
Institutions: Huazhong University of Science and Technology (China); Hubei University of Automotive Technology (China)
Journal: Nature communications, volume 17, issue 1, article 6559
Dates: received 20 November 2025; accepted 1 May 2026; published online 18 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41467-026-73070-8 · PMID 42151176 · PMCID PMC13381938 · OpenAlex W7161545639
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: human (organism)
Methods: Machine learning
Keywords: Materials for devices, Silicon photonics, Nanoscale materials
MeSH: Action Potentials*, Neural Networks, Computer*, Neurons*, Bayes Theorem, Humans, Models, Neurological, Photons, Stochastic Processes (* major topic)
Topic: Neural Networks and Reservoir Computing (Artificial Intelligence, Computer Science), according to OpenAlex
Funding: National Natural Science Foundation of China (National Science Foundation of China) (62474073, U24A20303); Natural Science Foundation for Distinguished Young Scholars of Hubei Province of China
Citations: not cited yet (Europe PMC); 68 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

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  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s41467-026-73070-8.

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Data

Datasets cited

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it points to a dataset: figshare 32091160
  • it says that the data are available on request
  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s41467-026-73070-8.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 14 authors, 3 keywords, 8 MeSH terms, 2 funders, 42 references.

Cite

This paper

Dong, Y., Wang, T., Xia, J., Wang, Z., Su, C., Li, Z., Li, G., Tang, W., Gong, J., Yu, Z., Zhang, B., Li, Q., Miao, X., & Yang, R. (2026). Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing. Nature communications, 17(1), 6559. https://doi.org/10.1038/s41467-026-73070-8

BibTeX

@article{dong2026compact,
author = {Dong, Yunxiao and Wang, Tianci and Xia, Jian and Wang, Zixuan and Su, Chaohui and Li, Zhiyuan and Li, Gongmin and Tang, Wei and Gong, Jie and Yu, Zilong and Zhang, Beining and Li, Qingyang and Miao, Xiangshui and Yang, Rui},
title = {{Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing}},
journal = {Nature communications},
year = {2026},
month = may,
volume = {17},
number = {1},
pages = {6559},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-73070-8},
url = {https://doi.org/10.1038/s41467-026-73070-8},
pmid = {42151176},
pmcid = {PMC13381938}
}

RIS

TY - JOUR
AU - Dong, Yunxiao
AU - Wang, Tianci
AU - Xia, Jian
AU - Wang, Zixuan
AU - Su, Chaohui
AU - Li, Zhiyuan
AU - Li, Gongmin
AU - Tang, Wei
AU - Gong, Jie
AU - Yu, Zilong
AU - Zhang, Beining
AU - Li, Qingyang
AU - Miao, Xiangshui
AU - Yang, Rui
TI - Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/05/18
VL - 17
IS - 1
SP - 6559
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-73070-8
UR - https://doi.org/10.1038/s41467-026-73070-8
LA - en
ER -

CSL-JSON

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