Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network

Bram F. Haverkort, Aida Todri-Sanial

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DOI: 10.3389/fnins.2025.1658490
Published: 2026-01-15
Container: Frontiers in Neuroscience
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2025.1658490,
  title = {Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network},
  author = {Bram F. Haverkort and Aida Todri-Sanial},
  year = {2026},
  journal = {Frontiers in Neuroscience},
  doi = {10.3389/fnins.2025.1658490},
  url = {https://doi.org/10.3389/fnins.2025.1658490}
}

RIS

TY  - JOUR
TI  - Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network
AU  - Bram F. Haverkort
AU  - Aida Todri-Sanial
PY  - 2026
JO  - Frontiers in Neuroscience
DO  - 10.3389/fnins.2025.1658490
UR  - https://doi.org/10.3389/fnins.2025.1658490
ER  -

APA

Haverkort, B. F., & Todri-Sanial, A. (2026). Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2025.1658490

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crossref · retrieved 2026-11-08T21:23:39.449Z