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Deep learning-based electroencephalography analysis: a systematic review
Roy, Yannick, Banville, Hubert, Albuquerque, Isabela, Gramfort, Alexandre, Falk, Tiago H, Faubert, Jocelyn
Published in Journal of neural engineering (01.10.2019)
Published in Journal of neural engineering (01.10.2019)
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Deep learning for electroencephalogram (EEG) classification tasks: a review
Craik, Alexander, He, Yongtian, Contreras-Vidal, Jose L
Published in Journal of neural engineering (01.06.2019)
Published in Journal of neural engineering (01.06.2019)
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A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update
Lotte, F, Bougrain, L, Cichocki, A, Clerc, M, Congedo, M, Rakotomamonjy, A, Yger, F
Published in Journal of neural engineering (01.06.2018)
Published in Journal of neural engineering (01.06.2018)
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A comprehensive review of EEG-based brain-computer interface paradigms
Abiri, Reza, Borhani, Soheil, Sellers, Eric W, Jiang, Yang, Zhao, Xiaopeng
Published in Journal of neural engineering (01.02.2019)
Published in Journal of neural engineering (01.02.2019)
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Uncovering the structure of clinical EEG signals with self-supervised learning
Banville, Hubert, Chehab, Omar, Hyvärinen, Aapo, Engemann, Denis-Alexander, Gramfort, Alexandre
Published in Journal of neural engineering (01.08.2021)
Published in Journal of neural engineering (01.08.2021)
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A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
Zhang, Xiang, Yao, Lina, Wang, Xianzhi, Monaghan, Jessica, McAlpine, David, Zhang, Yu
Published in Journal of neural engineering (01.06.2021)
Published in Journal of neural engineering (01.06.2021)
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BCI for stroke rehabilitation: motor and beyond
Mane, Ravikiran, Chouhan, Tushar, Guan, Cuntai
Published in Journal of neural engineering (01.08.2020)
Published in Journal of neural engineering (01.08.2020)
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Investigating EEG-based functional connectivity patterns for multimodal emotion recognition
Wu, Xun, Zheng, Wei-Long, Li, Ziyi, Lu, Bao-Liang
Published in Journal of neural engineering (01.02.2022)
Published in Journal of neural engineering (01.02.2022)
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EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification
Zhang, Ce, Kim, Young-Keun, Eskandarian, Azim
Published in Journal of neural engineering (01.08.2021)
Published in Journal of neural engineering (01.08.2021)
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HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification
Dai, Guanghai, Zhou, Jun, Huang, Jiahui, Wang, Ning
Published in Journal of neural engineering (06.01.2020)
Published in Journal of neural engineering (06.01.2020)
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Adaptive deep brain stimulation for Parkinson's disease using motor cortex sensing
Swann, Nicole C, de Hemptinne, Coralie, Thompson, Margaret C, Miocinovic, Svjetlana, Miller, Andrew M, Gilron, Ro'ee, Ostrem, Jill L, Chizeck, Howard J, Starr, Philip A
Published in Journal of neural engineering (01.08.2018)
Published in Journal of neural engineering (01.08.2018)
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EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising
Zhang, Haoming, Zhao, Mingqi, Wei, Chen, Mantini, Dante, Li, Zherui, Liu, Quanying
Published in Journal of neural engineering (01.10.2021)
Published in Journal of neural engineering (01.10.2021)
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Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology
Siegle, Joshua H, López, Aarón Cuevas, Patel, Yogi A, Abramov, Kirill, Ohayon, Shay, Voigts, Jakob
Published in Journal of neural engineering (01.08.2017)
Published in Journal of neural engineering (01.08.2017)
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