{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:15:39Z","timestamp":1780762539842,"version":"3.54.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2018,9,1]],"date-time":"2018-09-01T00:00:00Z","timestamp":1535760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673340"],"award-info":[{"award-number":["61673340"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFB1002503"],"award-info":[{"award-number":["2017YFB1002503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LZ17F030001"],"award-info":[{"award-number":["LZ17F030001"]}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LR15F020001"],"award-info":[{"award-number":["LR15F020001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/tbme.2018.2842769","type":"journal-article","created":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T18:54:07Z","timestamp":1527879247000},"page":"1953-1963","source":"Crossref","is-referenced-by-count":60,"title":["Estimating Brain Connectivity With Varying-Length Time Lags Using a Recurrent Neural Network"],"prefix":"10.1109","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9789-8907","authenticated-orcid":false,"given":"Yueming","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Lian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaozhe","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaohui","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Empirical evaluation of gated recurrent neural\n networks on sequence modeling","author":"chung","year":"2014"},{"key":"ref38","article-title":"Session-based recommendations with recurrent\n neural networks","author":"hidasi","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref32","first-page":"115","article-title":"Learning precise timing with LSTM recurrent\n networks","volume":"3","author":"gers","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms1705"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.conb.2012.11.010"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref36","first-page":"3104","article-title":"Sequence to sequence learning with neural\n networks","volume":"4","author":"sutskever","year":"0","journal-title":"Proc Neural Inf Process Syst Conf"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1528-1167.2009.02329.x"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.02.059"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2307\/1912791"},{"key":"ref12","article-title":"The theory of prediction","author":"wiener","year":"1956","journal-title":"Modern Mathematics for the Engineer"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.91.040101"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827929"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.919885"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BF00198091"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00194"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/epi.12831"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2550199"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.08.003"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000243257.85592.9a"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2323131"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/epi.12550"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/00004691-199911000-00004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2005.10.003"},{"key":"ref5","first-page":"240","article-title":"Note on regression and inheritance in the case of two parents","volume":"58","author":"pearson","year":"0","journal-title":"Proc Roy Soc London"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eplepsyres.2008.02.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2317881"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2014.06.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065716500337"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2011.0008"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.73.066216"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/PL00007990"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.01.099"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.100.144103"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.85.461"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1984.10477110"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4399-14.2015"},{"key":"ref41","author":"greene","year":"2013","journal-title":"Econometric Analysis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.91.032904"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1974.1100705"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0109462"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.056221"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/8440576\/08370751.pdf?arnumber=8370751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T12:19:27Z","timestamp":1643199567000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8370751\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":46,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2018.2842769","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9]]}}}