{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T09:00:53Z","timestamp":1753520453780,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/ecoc48923.2020.9333208","type":"proceedings-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T18:34:02Z","timestamp":1616610842000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["Time-series classification with an all-optical recurrent neuron"],"prefix":"10.1109","author":[{"given":"G.","family":"Mourgias-Alexandris","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Passalis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Dabos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Totovic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Tefas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Pleros","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2019.2949133"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1038\/s41586-019-1157-8","article-title":"All-optical spiking neurosynaptic networks with self-learning capabilities","volume":"569","author":"feldmann","year":"2019","journal-title":"Nature"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms4541"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2019.2929699"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2161771"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/OE.26.007955"},{"key":"ref16","first-page":"1","author":"bagherian","year":"2018","journal-title":"On-Chip Optical Convolutional Neural Networks"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1364\/AOP.8.000228"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1364\/CLEO_SI.2019.SM3N.3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2020.2995830"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1364\/OE.27.009620"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2019.2945548"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevApplied.11.064043"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1364\/OME.8.003851"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2020.2975579"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/SPPCOM.2018.SpW4G.3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1364\/OL.43.002276"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-017-07754-z","article-title":"Neuromorphic photonic networks using silicon photonic weight banks","volume":"7","author":"tait","year":"2017","journal-title":"Sci Rep"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2017.93"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1364\/OFC.2020.W3A.5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms4541"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1364\/OE.27.009620"},{"journal-title":"Minimal gated unit for recurrent neural networks","year":"2016","author":"zhou","key":"ref23"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"}],"event":{"name":"2020 European Conference on Optical Communications (ECOC)","start":{"date-parts":[[2020,12,6]]},"location":"Brussels, Belgium","end":{"date-parts":[[2020,12,10]]}},"container-title":["2020 European Conference on Optical Communications (ECOC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9332916\/9333039\/09333208.pdf?arnumber=9333208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:48:15Z","timestamp":1656344895000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9333208\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ecoc48923.2020.9333208","relation":{},"subject":[],"published":{"date-parts":[[2020,12]]}}}