Announcing a change of leadership at Journal of Neural Engineering von Durand, Dominique M

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Brain-Computer Interface for Patients with Spinal Cord Injury: A Bibliometric Study von Feng, Jingsheng, Gao, Shutao, Hu, Yukun, Sun, Guangxu, Sheng, Weibin

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Knowledge mapping and research trends of brain-computer interface technology in rehabilitation: a bibliometric analysis von Liu, Mingyue, Fang, Mingzhu, Liu, Mengya, Jin, Shasha, Liu, Bin, Wu, Liang, Li, Zhe

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Research hotspots and trends of brain-computer interface technology in stroke: a bibliometric study and visualization analysis von Li, Fangcun, Zhang, Ding, Chen, Jie, Tang, Ke, Li, Xiaomei, Hou, Zhaomeng

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Retraction notice to “Deep brain stimulation for Parkinson's disease using motor cortex sensing” [PRD (2020) e15 – e16] von Mamatkulov, A.

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Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020 von Xue, Xiali, Yang, Xinwei, Deng, Zhongyi, Tu, Huan, Kong, Dezhi, Li, Ning, Xu, Fan

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RETRACTED: A comparative study on end-to-end deep learning methods for Electroencephalogram channel selection von Abdullah, Faye, Ibrahima, Islam, Md Rafiqul

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Bibliometric analysis on Brain-computer interfaces in a 30-year period von Yin, Zichao, Wan, Yuehua, Fang, Hui, Li, Lin, Wang, Tong, Wang, Zheng, Tan, Dapeng

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RETRACTED: Deep brain stimulation for Parkinson's disease using motor cortex sensing von Mamatkulov, A.

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Characterization of optogenetically-induced cortical spreading depression in awake mice using graphene micro-transistor arrays von Masvidal Codina, Eduard, Smith, Trevor M, Rathore, Daman, Gao, Yunan, Illa, Xavi, Prats-Alfonso, Elisabet, Del Corro, Elena, Bonaccini, Andrea, Rius, Gemma, Martin-Fernandez, Iñigo, Guger, Christoph, Reitner, Patrick, Villa, Rosa, Garrido, Jose A, Guimera, Anton, Wykes, Rob C

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Psychophysical testing of visual prosthetic devices: a call to establish a multi-national joint task force von Rizzo, 3rd, Joseph F, Ayton, Lauren N

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Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware von Behrenbeck, Jan, Tayeb, Zied, Bhiri, Cyrine, Richter, Christoph, Rhodes, Oliver, Kasabov, Nikola, Espinosa-Ramos, Josafath, Furber, Steve, Cheng, Gordon, Conradt, Jörg

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Machine learning validation of EEG+tACS artefact removal von Kohli, Siddharth, Casson, Alexander J

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EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces von Lawhern, Vernon J, Solon, Amelia J, Waytowich, Nicholas R, Gordon, Stephen M, Hung, Chou P, Lance, Brent J

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Deep learning for electroencephalogram (EEG) classification tasks: a review von Craik, Alexander, He, Yongtian, Contreras-Vidal, Jose L

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Deep learning-based electroencephalography analysis: a systematic review von Roy, Yannick, Banville, Hubert, Albuquerque, Isabela, Gramfort, Alexandre, Falk, Tiago H, Faubert, Jocelyn

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A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update von Lotte, F, Bougrain, L, Cichocki, A, Clerc, M, Congedo, M, Rakotomamonjy, A, Yger, F

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A comprehensive review of EEG-based brain-computer interface paradigms von Abiri, Reza, Borhani, Soheil, Sellers, Eric W, Jiang, Yang, Zhao, Xiaopeng

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A novel deep learning approach for classification of EEG motor imagery signals von Tabar, Yousef Rezaei, Halici, Ugur

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BCI for stroke rehabilitation: motor and beyond von Mane, Ravikiran, Chouhan, Tushar, Guan, Cuntai

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