{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:09:02Z","timestamp":1780589342320,"version":"3.54.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91520202"],"award-info":[{"award-number":["91520202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602449"],"award-info":[{"award-number":["61602449"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CAS Scientific Equipment Development Project","award":["YJKYYQ20170050"],"award-info":[{"award-number":["YJKYYQ20170050"]}]},{"DOI":"10.13039\/501100009592","name":"Beijing Municipal Science and Technology Commission","doi-asserted-by":"publisher","award":["Z181100008918010"],"award-info":[{"award-number":["Z181100008918010"]}],"id":[{"id":"10.13039\/501100009592","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Strategic Priority Research Program of CAS"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1109\/tnnls.2018.2882456","type":"journal-article","created":{"date-parts":[[2018,12,12]],"date-time":"2018-12-12T20:07:58Z","timestamp":1544645278000},"page":"2310-2323","source":"Crossref","is-referenced-by-count":85,"title":["Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning"],"prefix":"10.1109","volume":"30","author":[{"given":"Changde","family":"Du","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changying","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0684-1711","authenticated-orcid":false,"given":"Huiguang","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"Proc NIPS"},{"key":"ref38","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NIPS"},{"key":"ref33","first-page":"1799","article-title":"Bayesian inference with posterior regularization and applications to infinite latent SVMs","volume":"15","author":"zhu","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref32","first-page":"1278","article-title":"Stochastic backpropagation and approximate inference in deep generative models","author":"rezende","year":"2014","journal-title":"Proc ICML"},{"key":"ref31","author":"kingma","year":"2013","journal-title":"Auto-encoding variational bayes"},{"key":"ref30","author":"higgins","year":"2016","journal-title":"Early visual concept learning with unsupervised deep learning"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1126\/science.1063736"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2016.02.001"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00801"},{"key":"ref34","first-page":"1083","article-title":"On deep multi-view representation learning","author":"wang","year":"2015","journal-title":"Proc ICML"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1512144113"},{"key":"ref61","first-page":"2980","article-title":"A recurrent latent variable model for sequential data","author":"chung","year":"2015","journal-title":"Proc NIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/srep27755"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5023-14.2015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhx268"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-013-9238-z"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.07.073"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2844464"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2851077"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2016.06.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2012.01.010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/BF02478259"},{"key":"ref50","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref51","first-page":"2","article-title":"A new benchmark Dataset for handwritten character recognition","author":"van der maaten","year":"2009","journal-title":"Tilburg Univ"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2016.00081"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2012.10.014"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0559-09.2009"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref54","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref53","first-page":"1","article-title":"Bayesian efficient multiple kernel learning","author":"gonen","year":"2012","journal-title":"Proc ICML"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4286-15.2016"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.11.064"},{"key":"ref40","first-page":"2172","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Proc NIPS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.22087"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2016.00351"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms15037"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2008.11.004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00047"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.07.043"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00423"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature06713"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1931"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2011.08.031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2009.09.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.03.018"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1126\/science.1234330","article-title":"Neural decoding of visual imagery during sleep","volume":"340","author":"horikawa","year":"2013","journal-title":"Science"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.05.050"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2014.00173"},{"key":"ref46","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"Proc NIPS"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.10.001"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2006.07.005"},{"key":"ref47","first-page":"3738","article-title":"Ladder variational autoencoders","author":"s\u00f8nderby","year":"2016","journal-title":"Proc NIPS"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965968"},{"key":"ref41","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"Proc ICML"},{"key":"ref44","article-title":"Variational autoencoder: An unsupervised model for modeling and decoding fMRI activity in visual cortex","author":"han","year":"2017","journal-title":"BioRxiv"},{"key":"ref43","first-page":"4246","article-title":"Reconstructing perceived faces from brain activations with deep adversarial neural decoding","author":"g\u00fc\u00e7l\u00fct\u00fcrk","year":"2017","journal-title":"Proc NIPS"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8765481\/08574054.pdf?arnumber=8574054","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:49:30Z","timestamp":1657745370000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8574054\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":61,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2018.2882456","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8]]}}}