Noise enables conditional recovery from collapse: Probabilistic persistence in threshold-activated systems

Vinesh Vijayan, B. Priyadharshini, R. Sathish Kumar, G. Janaki

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DOI: 10.1103/xgq1-nnqb
Published: 2025-12-19
Container: Physical Review E
Publisher: American Physical Society (APS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1103/xgq1-nnqb,
  title = {Noise enables conditional recovery from collapse: Probabilistic persistence in threshold-activated systems},
  author = {Vinesh Vijayan and B. Priyadharshini and R. Sathish Kumar and G. Janaki},
  year = {2025},
  journal = {Physical Review E},
  doi = {10.1103/xgq1-nnqb},
  url = {https://doi.org/10.1103/xgq1-nnqb}
}

RIS

TY  - JOUR
TI  - Noise enables conditional recovery from collapse: Probabilistic persistence in threshold-activated systems
AU  - Vinesh Vijayan
AU  - B. Priyadharshini
AU  - R. Sathish Kumar
AU  - G. Janaki
PY  - 2025
JO  - Physical Review E
DO  - 10.1103/xgq1-nnqb
UR  - https://doi.org/10.1103/xgq1-nnqb
ER  -

APA

Vijayan, V., Priyadharshini, B., Kumar, R. S., & Janaki, G. (2025). Noise enables conditional recovery from collapse: Probabilistic persistence in threshold-activated systems. Physical Review E. https://doi.org/10.1103/xgq1-nnqb

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crossref · retrieved 2026-09-26T19:45:58.895Z