{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:39:12Z","timestamp":1776443952676,"version":"3.51.2"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"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":[[2021,11,1]]},"DOI":"10.1109\/embc46164.2021.9630210","type":"proceedings-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:24:16Z","timestamp":1639085056000},"page":"125-130","source":"Crossref","is-referenced-by-count":51,"title":["Gated Transformer for Decoding Human Brain EEG Signals"],"prefix":"10.1109","author":[{"given":"Yunzhe","family":"Tao","sequence":"first","affiliation":[]},{"given":"Tao","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Aashiq","family":"Muhamed","sequence":"additional","affiliation":[]},{"given":"Sahika","family":"Genc","sequence":"additional","affiliation":[]},{"given":"Dylan","family":"Jackson","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Arsanjani","sequence":"additional","affiliation":[]},{"given":"Suri","family":"Yaddanapudi","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Prachi","family":"Kumar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2905157"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2906824"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2967128"},{"key":"ref30","author":"xiong","year":"2020","journal-title":"On layer normalization in the transformer architecture"},{"key":"ref35","article-title":"Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface","volume":"32","author":"zhang","year":"2018","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2943362"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"215e","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new re-search resource for complex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2005.04.011"},{"key":"ref12","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref13","author":"kipf","year":"2016","journal-title":"Semi-supervised classification with graph convolutional networks"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.08.092"},{"key":"ref17","first-page":"4620","article-title":"Targeting EEG\/LFP Synchrony with Neural Nets","author":"li","year":"2017","journal-title":"NIPS"},{"key":"ref18","author":"lun","year":"2020","journal-title":"GCNs-Net A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2015.7169786"},{"key":"ref28","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref4","author":"baevski","year":"2018","journal-title":"Adaptive input representations for neural language modeling"},{"key":"ref27","first-page":"1377","article-title":"Logistic regression for single trial EEG classification","author":"tomioka","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref3","author":"ba","year":"2016","journal-title":"Layer normalization"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2015.02.004"},{"key":"ref29","author":"wang","year":"2019","journal-title":"Learning deep transformer models for machine translation"},{"key":"ref5","author":"child","year":"2019","journal-title":"Generating long sequences with sparse transformers"},{"key":"ref8","first-page":"248","article-title":"Ima-genet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","author":"chung","year":"2014","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref2","first-page":"355","article-title":"Emotion recognition based on EEG using LSTM recurrent neural network","volume":"8","author":"alhagry","year":"2017","journal-title":"Emotion"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CNE.2003.1196897"},{"key":"ref1","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4236\/jbise.2010.34054"},{"key":"ref22","first-page":"7487","article-title":"Stabilizing transformers for reinforcement learning","author":"parisotto","year":"2020","journal-title":"International Conference on Machine Learning"},{"key":"ref21","article-title":"Decoding brain representations by multimodal learning of neural activity and visual features","author":"palazzo","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827072"},{"key":"ref23","author":"paszke","year":"2019","journal-title":"Pytorch An imperative style high-performance deep learning library"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2016.10.117"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.06.065"}],"event":{"name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","location":"Mexico","start":{"date-parts":[[2021,11,1]]},"end":{"date-parts":[[2021,11,5]]}},"container-title":["2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9629355\/9629471\/09630210.pdf?arnumber=9630210","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:16Z","timestamp":1652201656000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9630210\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/embc46164.2021.9630210","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}