Fast Edge Detection in Time-series using Photonic-Electronic Spiking Resonant Tunnelling Diode Neurons
Neuromorphic (brain-inspired) computing, implemented on optoelectronic photonic hardware, has strong potential to transform the way we perform processing due to the low power requirements and high operating speed of the platform. Resonant Tunnelling Diodes (RTDs) are one such optoelectronic device that has previously demonstrated the neuron-like spiking dynamics required for neuromorphic processing [1], [2]. RTDs have a highly non-linear IV relationship (due to quantum tunnelling across the double barrier quantum well) that can be exploited electrically or optically, to achieve their neuromorphic functionality.
Authors
- J. M. L. Figueiredo (ORCID: https://orcid.org/0000-0001-5668-7073)
- Bruno Romeira (ORCID: https://orcid.org/0000-0002-1485-6665)
- Joshua Robertson (ORCID: https://orcid.org/0000-0001-6316-5265)
- Antonio Hurtado (ORCID: https://orcid.org/0000-0002-4448-9034)
- Edward Wasige (ORCID: https://orcid.org/0000-0001-5014-342X)
- Giovanni Donati (ORCID: https://orcid.org/0000-0001-6156-8394)
- Dylan S. Black (ORCID: https://orcid.org/0000-0003-2991-8862)
- Andrew Adair
- Dafydd Owen-Newns (ORCID: https://orcid.org/0000-0001-6592-8465)
Institutions
- University of Lisbon (PT)
- University of Strathclyde (GB)
- International Iberian Nanotechnology Laboratory (PT)
- University of Glasgow (GB)
- Universidade Nova de Lisboa (PT)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110658
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00