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Published in 2019 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/ab0cf1
Abstract: OBJECTIVE It has been shown that attentional selection in a simple dichotic listening paradigm can be decoded offline by reconstructing the stimulus envelope from single-trial neural response data. Here, we test the efficacy of this…
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Keywords:
improve decoding;
envelope;
attention;
eeg decoding ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035347
Abstract: Motor imagery electroencephalography (MI-EEG), which is an important subfield of active brain–computer interface (BCI) systems, can be applied to help disabled people to consciously and directly control prosthesis or external devices, aiding them in certain…
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Keywords:
motor imagery;
spatial representation;
eeg;
eeg decoding ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3230250
Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, we propose a compact Convolutional Transformer, named…
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Keywords:
visualization;
eeg conformer;
eeg decoding;
convolutional transformer ... See more keywords