@inproceedings{b902d213c30b47dea58ea3f981664923,
title = "Photonic VCSEL-neuron for spike-rate representation of digital image data",
abstract = "With the increasing importance and capabilities of artificial intelligence (AI) approaches across all the domains of our society, the focus is now also moving towards the hardware used for running these algorithms. Neuromorphic computers, inspired by the computational capabilities of the brain, offer a viable, high efficiency alternative to usual von Neumann-based electronic processors. Besides the conventional CMOS-based electronics, novel technologies are also being investigated for neuromorphic computing [1] . Optics and photonics are one these promising alternative technologies for such systems, offering desirable properties including high bandwidth and low power operation. Among the photonic technologies for neuromorphic hardware, vertical cavity surface emitting lasers (VCSELs) provide mature fabrication technology, suitability for integration and high-speed operation.",
keywords = "fabrication, program processors, neuromorphic engineering, Europe, optics, hardware, vertical cavity surface emitting lasers",
author = "Matĕj Hejda and Joshua Robertson and Juli{\'a}n Bueno and Alanis, {Juan Arturo} and Antonio Hurtado",
year = "2021",
month = sep,
day = "30",
doi = "10.1109/cleo/europe-eqec52157.2021.9541912",
language = "English",
isbn = "9781665448048",
series = "2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)",
publisher = "IEEE",
booktitle = "2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)",
note = "2021 European Quantum Electronics Conference, EQEC 2021 - Part of 2021 Conference on Lasers and Electro-Optics Europe, CLEO 2021 ; Conference date: 21-06-2021 Through 25-06-2021",
}