On the implementation of nonlinearities in optical neural networks: opinion
Optical neural networks are expected to be hybrid systems for the foreseeable future combining optics and electronics. The linear portion of the system, consisting of the weighted interconnections between the neurons, can be realized optically. The nonlinear activation functions and the training of the network are implemented with nonlinear optics or electronically.
Authors
- Christophe Moser (ORCID: https://orcid.org/0000-0002-2078-0273)
- Niyazi Ulaş Dinç (ORCID: https://orcid.org/0000-0002-9606-8098)
- İlker Oğuz (ORCID: https://orcid.org/0000-0003-2674-684X)
- Mustafa Yıldırım (ORCID: https://orcid.org/0000-0002-8880-5457)
- Demetri Psaltis
Publication Details
- Journal
- Optical Materials Express
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1364/ome.536870
- Citations
- 3
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung