Nonlinear regime transitions enable reservoir computation in activator–inhibitor cellular automata

Jurgen Riedel, Chris P. Barnes, Alexey Zaikin

Open source

DOI
10.64898/2026.09.10.750595
Published
2026-09-13
Container
Not recorded
Publisher
openRxiv
Open access
unknown

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BibTeX

@article{allodium:10.64898/2026.09.10.750595,
  title = {Nonlinear regime transitions enable reservoir computation in activator–inhibitor cellular automata},
  author = {Jurgen Riedel and Chris P. Barnes and Alexey Zaikin},
  year = {2026},
  doi = {10.64898/2026.09.10.750595},
  url = {https://doi.org/10.64898/2026.09.10.750595}
}

RIS

TY  - JOUR
TI  - Nonlinear regime transitions enable reservoir computation in activator–inhibitor cellular automata
AU  - Jurgen Riedel
AU  - Chris P. Barnes
AU  - Alexey Zaikin
PY  - 2026
DO  - 10.64898/2026.09.10.750595
UR  - https://doi.org/10.64898/2026.09.10.750595
ER  - 

APA

Riedel, J., Barnes, C. P., & Zaikin, A. (2026). Nonlinear regime transitions enable reservoir computation in activator–inhibitor cellular automata. https://doi.org/10.64898/2026.09.10.750595

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