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Comput. Eng."],"published-print":{"date-parts":[[2023,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In this work, we introduce Fabry\u2013Perot lasers as neuromoprhic nodes in the context of time-delayed reservoir computing and extreme learning machine (ELM) for the processing of temporal signals and the high-speed classification of images. By exploiting the multi-wavelength emission capabilities of the Fabry\u2013Perot lasers, additional processing nodes can be introduced, thus raising the computational power without sacrificing processing speed. An experimental validation of this concept using a Fabry\u2013Perot ELM is presented targeting a time depedent task such as channel equalization for a 50 km 28 Gbaud \u2018PAM-4\u2019 transmission, offering hard-decision forward error correction compatible performance. Additionally, the Fabry\u2013Perot neuromorphic concept has been further strengthened by modifying the data entry technique by parallelelly assigning different samples of the input signal to different modes so as to significantly reduce speed penalty. Numerical simulations revealed that this alternative data insertion technique can offer a reduction of the processing delay and physical footprint by 75% compared to the conventional approach assigning the same symbols to all Fairy\u2013Perot modes. Moreover, by using a similar data processing scheme in \u2018MNIST\u2019 image classification task we were able to numerically achieve a processing speed of 255.1 Mimages s<jats:sup>\u22121<\/jats:sup> and a classification accuracy up to 95.95%.<\/jats:p>","DOI":"10.1088\/2634-4386\/ad025b","type":"journal-article","created":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T22:29:34Z","timestamp":1697063374000},"page":"044003","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Multimode Fabry-Perot laser as a reservoir computing and extreme learning machine photonic accelerator"],"prefix":"10.1088","volume":"3","author":[{"given":"Menelaos","family":"Skontranis","sequence":"first","affiliation":[]},{"given":"George","family":"Sarantoglou","sequence":"additional","affiliation":[]},{"given":"Kostas","family":"Sozos","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Kamalakis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0072-3116","authenticated-orcid":true,"given":"Charis","family":"Mesaritakis","sequence":"additional","affiliation":[]},{"given":"Adonis","family":"Bogris","sequence":"additional","affiliation":[]}],"member":"266","published-online":{"date-parts":[[2023,10,20]]},"reference":[{"key":"ncead025bbib1","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"ncead025bbib2","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1145\/357783.331677","article-title":"The processor-memory bottleneck: problems and solutions","volume":"5","author":"Mahapatra","year":"1999","journal-title":"Xrds"},{"key":"ncead025bbib3","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1109\/35.41397","article-title":"Information theory, complexity and neural networks","volume":"27","author":"Abu-Mostafa","year":"1989","journal-title":"IEEE Commun. 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Published by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2023-02-14","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-10-11","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-10-20","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}