Structural and dynamical strategies to prevent runaway excitation in reservoir computing

Claus Metzner, Achim Schilling, Andreas Maier, Thomas Kinfe, Patrick Krauss

Open source

DOI: 10.3389/fncom.2026.1845838
Published: 2026-08-14
Container: Frontiers in Computational Neuroscience
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fncom.2026.1845838,
  title = {Structural and dynamical strategies to prevent runaway excitation in reservoir computing},
  author = {Claus Metzner and Achim Schilling and Andreas Maier and Thomas Kinfe and Patrick Krauss},
  year = {2026},
  journal = {Frontiers in Computational Neuroscience},
  doi = {10.3389/fncom.2026.1845838},
  url = {https://doi.org/10.3389/fncom.2026.1845838}
}

RIS

TY  - JOUR
TI  - Structural and dynamical strategies to prevent runaway excitation in reservoir computing
AU  - Claus Metzner
AU  - Achim Schilling
AU  - Andreas Maier
AU  - Thomas Kinfe
AU  - Patrick Krauss
PY  - 2026
JO  - Frontiers in Computational Neuroscience
DO  - 10.3389/fncom.2026.1845838
UR  - https://doi.org/10.3389/fncom.2026.1845838
ER  -

APA

Metzner, C., Schilling, A., Maier, A., Kinfe, T., & Krauss, P. (2026). Structural and dynamical strategies to prevent runaway excitation in reservoir computing. Frontiers in Computational Neuroscience. https://doi.org/10.3389/fncom.2026.1845838

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crossref · retrieved 2026-09-26T11:04:51.004Z