{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T11:23:13Z","timestamp":1772623393821,"version":"3.50.1"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"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":["91948302"],"award-info":[{"award-number":["91948302"]}],"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":["52227808"],"award-info":[{"award-number":["52227808"]}],"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":["52175021"],"award-info":[{"award-number":["52175021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Research Council Synergy Grant NaturalBionicS","award":["810346"],"award-info":[{"award-number":["810346"]}]},{"name":"Engineering and Physical Sciences Research Council (EPSRC) Transformative Healthcare, Non-Invasive Single Neuron Electrical Monitoring (NISNEM) Technology","award":["EP\/T020970"],"award-info":[{"award-number":["EP\/T020970"]}]},{"name":"ICL-Meta Wearable Neural Interfaces Research Centre"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tnnls.2024.3438368","type":"journal-article","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T17:39:12Z","timestamp":1723657152000},"page":"9224-9237","source":"Crossref","is-referenced-by-count":17,"title":["Conditional Generative Models for Simulation of EMG During Naturalistic Movements"],"prefix":"10.1109","volume":"36","author":[{"given":"Shihan","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Bioengineering, Imperial College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0744-3982","authenticated-orcid":false,"given":"Alexander","family":"Kenneth Clarke","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Imperial College London, London, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6508-5277","authenticated-orcid":false,"given":"Kostiantyn","family":"Maksymenko","sequence":"additional","affiliation":[{"name":"Neurodec, Antibes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2781-121X","authenticated-orcid":false,"given":"Samuel","family":"Deslauriers-Gauthier","sequence":"additional","affiliation":[{"name":"Neurodec, Antibes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6124-8665","authenticated-orcid":false,"given":"Xinjun","family":"Sheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration and the Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4914-6636","authenticated-orcid":false,"given":"Xiangyang","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration and the Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7883-2697","authenticated-orcid":false,"given":"Dario","family":"Farina","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Imperial College London, London, U.K."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1227356"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2018.09.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF02459568"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4497"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3350085"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3238519"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3236635"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00286-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3145365"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/10.704867"},{"key":"ref11","first-page":"492","article-title":"MyoSuite: A contact-rich simulation suite for musculoskeletal motor control","volume-title":"Proc. Learn. Dyn. Control Conf.","author":"Caggiano"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3124330"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160159"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-016-0025"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/10.771191"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2023.3290825"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-37238-w"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175286"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007267"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3057051"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3219814"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_47"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-28526-y"},{"key":"ref25","first-page":"1","article-title":"A study of nerve physiology","volume":"132","author":"De N\u00f3","year":"1949","journal-title":"Stud. Rockefeller Inst. Med. Res."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S1350-4533(99)00075-2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2003.820998"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3112766"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF02350987"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.836494"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref32","article-title":"EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals","author":"Hartmann","year":"2018","journal-title":"arXiv:1806.01875"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn.2019.8852227"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref35","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/biology9120441"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9176072"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2006.153532020"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10121353"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-021-00811-z"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/s20092605"},{"key":"ref42","article-title":"Generating realistic neurophysiological time series with denoising diffusion probabilistic models","author":"Vetter","year":"2023","journal-title":"BioRxiv"},{"key":"ref43","article-title":"EEG synthetic data generation using probabilistic diffusion models","author":"Tosato","year":"2023","journal-title":"arXiv:2303.06068"},{"key":"ref44","article-title":"Synthetic sleep EEG signal generation using latent diffusion models","volume-title":"Proc. Workshop Deep Generative Models Health NeurIPS (DGM4H)","author":"Aristimunha"},{"key":"ref45","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-018-2101-5"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2019.05.038"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00171-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2968370"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2020.08.012"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8462832"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/9781119082934"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/13\/2\/026027"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1993.70.6.2470"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1010556"},{"key":"ref56","first-page":"11918","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Song"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3111911"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101619"},{"key":"ref60","article-title":"Invertible conditional GANs for image editing","author":"Perarnau","year":"2016","journal-title":"arXiv:1611.06355"},{"key":"ref61","article-title":"Generating sentences from a continuous space","author":"Bowman","year":"2015","journal-title":"arXiv:1511.06349"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_85"},{"key":"ref64","first-page":"18225","article-title":"Self-supervised learning disentangled group representation as feature","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Wang"},{"key":"ref65","first-page":"1","article-title":"A framework for the quantitative evaluation of disentangled representations","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Eastwood"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006223"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00482.2017"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3217722"},{"key":"ref69","article-title":"Extraction and recovery of spatio-temporal structure in latent dynamics alignment with diffusion models","author":"Wang","year":"2023","journal-title":"arXiv:2306.06138"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2885283"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/10982361\/10636282.pdf?arnumber=10636282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T17:56:53Z","timestamp":1746467813000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10636282\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":70,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2024.3438368","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}