{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T15:01:18Z","timestamp":1770044478350,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"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":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2022,11,1]]},"DOI":"10.1109\/tc.2022.3191738","type":"journal-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T20:34:30Z","timestamp":1658176470000},"page":"2778-2791","source":"Crossref","is-referenced-by-count":20,"title":["Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3539-9341","authenticated-orcid":false,"given":"Bleema","family":"Rosenfeld","sequence":"first","affiliation":[{"name":"Electrical and Computer Engineering Department, New Jersey Institute of Technology Newark College of Engineering, Newark, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9898-3209","authenticated-orcid":false,"given":"Osvaldo","family":"Simeone","sequence":"additional","affiliation":[{"name":"Engineering Department, King&#x0027;s College London, London, U.K."}]},{"given":"Bipin","family":"Rajendran","sequence":"additional","affiliation":[{"name":"Engineering Department, King&#x0027;s College London, London, U.K."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS48895.2020.9073948"},{"key":"ref2","article-title":"Gradient descent for spiking neural networks","author":"Huh","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2014.00038"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2935234"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2012.2230553"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tbcas.2013.2281834"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851858"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3130191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3446374"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nature07140"},{"key":"ref11","first-page":"3624","article-title":"Bayesian gans","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Saatci"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICISCAE51034.2020.9236869"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn55064.2022.9892262"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00039"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1424-8"},{"key":"ref17","article-title":"Dashnet: A hybrid artificial and spiking neural network for high-speed object tracking","author":"Yang","year":"2019"},{"key":"ref18","article-title":"Gesture similarity analysis on event data using a hybrid guided variational auto encoder","author":"Stewart","year":"2021"},{"key":"ref19","first-page":"17049","article-title":"Learning to time-decode in spiking neural networks through the information bottleneck","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Skatchkovsky"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/DSLW51110.2021.9523405"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/fncir.2015.00085"},{"key":"ref23","first-page":"5508","article-title":"Time-series generative adversarial networks","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Yoon"},{"key":"ref24","article-title":"Stein variational gradient descent: A general purpose Bayesian inference algorithm","author":"Liu","year":"2016"},{"key":"ref25","article-title":"Online meta-learning","author":"Finn","year":"2019"},{"key":"ref26","article-title":"On first-order meta-learning algorithms","author":"Nichol","year":"2018"},{"key":"ref27","article-title":"Deep adversarial belief networks","author":"Huang","year":"2019"},{"key":"ref28","article-title":"UCI machine learning repository","author":"Dua","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002231"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IWW-BCI.2018.8311535"},{"key":"ref31","article-title":"Real-valued (medical) time series generation with recurrent conditional GANs","author":"Esteban","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/089976601300014321"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3109\/0954898X.2012.673048"},{"key":"ref34","article-title":"Divergence measures and message passing","author":"Minka","year":"2005"},{"key":"ref35","article-title":"R\u00e9nyi divergence variational inference","author":"Li","year":"2016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1561\/2000000102"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1088\/2634-4386\/ac8828"},{"key":"ref38","article-title":"Generative adversarial networks in time series: A survey and taxonomy","author":"Brophy","year":"2021"},{"key":"ref39","first-page":"7332","article-title":"Bayesian model-agnostic meta-learning","volume-title":"Proc. Neural Informat. Process. Syst.","author":"Yoon"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/12\/9913765\/9832788-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/9913765\/09832788.pdf?arnumber=9832788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T07:28:12Z","timestamp":1706772492000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9832788\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":39,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tc.2022.3191738","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}