High Speed Time Series Prediction with a Photonic Spiking Neural Network Built with a Single VCSEL
We report a high speed Neuromorphic Photonic Spiking Neural Network (p-SNN) built with a Vertical Cavity Surface Emitting Laser (VCSEL). Memory is induced in the p-SNN by introducing two separate past points in the time series allowing accurate predictions over a range of future horizons.
Authors
- Joshua Robertson (ORCID: https://orcid.org/0000-0001-6316-5265)
- Antonio Hurtado (ORCID: https://orcid.org/0000-0002-4448-9034)
- Kathy Lüdge (ORCID: https://orcid.org/0000-0002-4831-8910)
- Andrew Adair
- Lina Jaurigue (ORCID: https://orcid.org/0000-0002-5104-7111)
- Dafydd Owen-Newns (ORCID: https://orcid.org/0000-0001-6592-8465)
- Jonnel Anthony Jaurigue
Institutions
- Technische Universität Ilmenau (DE)
- University of Strathclyde (GB)
Publication Details
- Published
- 2024-11-10
- DOI
- https://doi.org/10.1109/ipc60965.2024.10799650
- Citations
- 1
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Engineering and Physical Sciences Research Council