Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective
- DOI
- 10.1016/j.neunet.2025.108383
- Published
- 2026-05
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.108383,
title = {Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective},
author = {Juncheng Huang and Tao Wang and Kathy Lüdge and Yanan Han and Shuiying Xiang and Yue Hao},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2025.108383},
url = {https://doi.org/10.1016/j.neunet.2025.108383}
}RIS
TY - JOUR TI - Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective AU - Juncheng Huang AU - Tao Wang AU - Kathy Lüdge AU - Yanan Han AU - Shuiying Xiang AU - Yue Hao PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2025.108383 UR - https://doi.org/10.1016/j.neunet.2025.108383 ER -
APA
Huang, J., Wang, T., Lüdge, K., Han, Y., Xiang, S., & Hao, Y. (2026). Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective. Neural Networks. https://doi.org/10.1016/j.neunet.2025.108383
Source records
- crossref · retrieved 2026-11-10T14:17:56.014Z