Spike propagation in a nanolaser-based optoelectronic neuron
Funding: H2020 Future and Emerging Technologies (828841); UK Research and Innovation Turing AI Acceleration Fellowshops Programme (EP/V025198/1). Acknowledgments: The authors are supported by the European Commission through the H2020-FET-OPEN Project "ChipAI". The authors also acknowledge...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Rey Juan Carlos |
| Repositorio: | BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos |
| OAI Identifier: | oai:burjcdigital.urjc.es:10115/28455 |
| Acceso en línea: | https://hdl.handle.net/10115/28455 |
| Access Level: | acceso abierto |
| Palabra clave: | Integrated circuit Laser Classification Excitability Threshold Photonics VCSEL |
| Sumario: | Funding: H2020 Future and Emerging Technologies (828841); UK Research and Innovation Turing AI Acceleration Fellowshops Programme (EP/V025198/1). Acknowledgments: The authors are supported by the European Commission through the H2020-FET-OPEN Project "ChipAI". The authors also acknowledge Víctor Dolores-Calzadilla and Ekaterina Malysheva from the Eindhoven University of Technology for their fruitful contributions on nanolasers. The team at the University of Strathclyde acknowledges support from the UKRI Turing AI Acceleration Fellowships Programme. Disclosures: The authors declare no conflicts of interest. Data availability: Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request. |
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