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Journal of Neural Engineering|September 2, 2005
Sensory vestibular contributions to constructing internal models of self-motionAndrea M Green, Aasef G Shaikh, Dora E AngelakiJournal of Neural Engineering|August 9, 2019
Brain-computer interfaces and personhood: interdisciplinary deliberations on neural technologyMatthew Sample, Marjorie Aunos, Stefanie Blain-Moraes, et al.Journal of Neural Engineering|August 13, 2019
Modeling stimulus-dependent variability improves decoding of population neural responsesAbed Ghanbari, Christopher M Lee, Heather L Read, et al.Journal of Neural Engineering|January 11, 2024
MEP and TEP features variability: is it just the brain-state?Claudia Bigoni, Sara Pagnamenta, Andéol Cadic-Melchior, et al.Journal of Neural Engineering|June 5, 2019
Single-paradigm and hybrid brain computing interfaces and their use by disabled patientsM de Neeling, M M Van HulleJournal of Neural Engineering|May 13, 2017
Automated EEG artifact elimination by applying machine learning algorithms to ICA-based featuresThea Radüntz, Jon Scouten, Olaf Hochmuth, et al.Journal of Neural Engineering|December 8, 2018
Coarse behavioral context decodingAbdulwahab Alasfour, Paolo Gabriel, Xi Jiang, et al.Journal of Neural Engineering|July 13, 2026
Multimodal quantification of cognitive load using a printed wearable facial bio-potential systemDvir Teitelbaum, Rawan Ibrahim, Hila Man, et al.Journal of Neural Engineering|July 13, 2026
Deep-learning based electroencephalogram denoising: A literature reviewLe Wu, Aiping Liu, Jane Wang, et al.Journal of Neural Engineering|July 8, 2026
Enhanced source localization accuracy through bidirectional deep brain stimulation (DBS) electrodes: A comparative study with non-invasive EEG methodsBabatunde Abdullahi Olatunji, Narayan P Subramaniyam, Eetu Siitama, et al.Pageof 419