Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Huannan Zheng, Jingli Liu, Kezhou Yang

Open source

DOI
10.1002/advs.78508
Published
2026-11-03
Container
Advanced Science
Publisher
Wiley
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1002/advs.78508,
  title = {Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons},
  author = {Huannan Zheng and Jingli Liu and Kezhou Yang},
  year = {2026},
  journal = {Advanced Science},
  doi = {10.1002/advs.78508},
  url = {https://doi.org/10.1002/advs.78508}
}

RIS

TY  - JOUR
TI  - Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
AU  - Huannan Zheng
AU  - Jingli Liu
AU  - Kezhou Yang
PY  - 2026
JO  - Advanced Science
DO  - 10.1002/advs.78508
UR  - https://doi.org/10.1002/advs.78508
ER  - 

APA

Zheng, H., Liu, J., & Yang, K. (2026). Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons. Advanced Science. https://doi.org/10.1002/advs.78508

Source records