A computational framework combining neuronal dynamics and evolutionary game theory for network-level synaptic interactions

Fabio Poggio, Martina Brofiga, Cecilia De Vicariis, Vittorio Sanguineti, Paolo Massobrio

Open source

DOI: 10.1088/1741-2552/ae1dad
Published: 2025-11-19
Container: Journal of Neural Engineering
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/ae1dad,
  title = {A computational framework combining neuronal dynamics and evolutionary game theory for network-level synaptic interactions},
  author = {Fabio Poggio and Martina Brofiga and Cecilia De Vicariis and Vittorio Sanguineti and Paolo Massobrio},
  year = {2025},
  journal = {Journal of Neural Engineering},
  doi = {10.1088/1741-2552/ae1dad},
  url = {https://doi.org/10.1088/1741-2552/ae1dad}
}

RIS

TY  - JOUR
TI  - A computational framework combining neuronal dynamics and evolutionary game theory for network-level synaptic interactions
AU  - Fabio Poggio
AU  - Martina Brofiga
AU  - Cecilia De Vicariis
AU  - Vittorio Sanguineti
AU  - Paolo Massobrio
PY  - 2025
JO  - Journal of Neural Engineering
DO  - 10.1088/1741-2552/ae1dad
UR  - https://doi.org/10.1088/1741-2552/ae1dad
ER  -

APA

Poggio, F., Brofiga, M., Vicariis, C. D., Sanguineti, V., & Massobrio, P. (2025). A computational framework combining neuronal dynamics and evolutionary game theory for network-level synaptic interactions. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ae1dad

Source records

crossref · retrieved 2026-09-25T19:23:16.385Z