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Journal of Neural Engineering|January 25, 2022
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniquesLin Yao, Bingzhao Zhu, Mahsa ShoaranJournal of Neural Engineering|October 16, 2019
Subject-specific EEG channel selection using non-negative matrix factorization for lower-limb motor imagery recognitionDharmendra Gurve, Denis Delisle-Rodriguez, Maria Romero-Laiseca, et al.Journal of Neural Engineering|January 24, 2022
Towards optimizing the non-invasive sensory feedback interfaces in a neural prosthetic controlShiyong Su, Guohong Chai, Jianjun Meng, et al.Journal of Neural Engineering|September 28, 2018
The role of inflammation on the functionality of intracortical microelectrodesJanak Gaire, Heui Chang Lee, Nicholas Hilborn, et al.Journal of Neural Engineering|September 15, 2018
Closed-loop system to enhance slow-wave activityGary Garcia-Molina, Tsvetomira Tsoneva, Jeff Jasko, et al.Journal of Neural Engineering|September 15, 2018
Deep compressive autoencoder for action potential compression in large-scale neural recordingTong Wu, Wenfeng Zhao, Edward Keefer, et al.Journal of Neural Engineering|September 14, 2018
A neural mass model to predict electrical stimulation evoked responses in human and non-human primate brainIshita Basu, Britni Crocker, Kara Farnes, et al.Journal of Neural Engineering|September 14, 2018
Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordingsAkshay Arora, Jui-Jui Lin, Alec Gasperian, et al.Journal of Neural Engineering|May 18, 2018
Defining and quantifying users' mental imagery-based BCI skills: a first stepFabien Lotte, Camille JeunetJournal of Neural Engineering|January 30, 2023
EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibrationDenis Delisle-Rodriguez, Leticia Silva, Teodiano Bastos-FilhoPageof 419