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Scott Wellington
Scott Wellington
University of Edinburgh; University of Bath
在 bath.ac.uk 的电子邮件经过验证
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Decoding Imagined, Heard, and Spoken Speech: Classification and Regression of EEG Using a 14-Channel Dry-Contact Mobile Headset.
J Clayton, S Wellington, C Valentini-Botinhao, O Watts
INTERSPEECH, 4886-4890, 2020
142020
Decoding continuous kinetic information of grasp from stereo-electroencephalographic (SEEG) recordings
X Wu, G Li, S Jiang, S Wellington, S Liu, Z Wu, B Metcalfe, L Chen, ...
Journal of Neural Engineering 19 (2), 026047, 2022
92022
Fourteen-channel EEG with Imagined Speech (FEIS) dataset
S Wellington, J Clayton
University of Edinburgh, 2019
62019
Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
F Simistira Liwicki, V Gupta, R Saini, K De, N Abid, S Rakesh, ...
Scientific Data 10 (1), 378, 2023
4*2023
Speech decoding from stereo-electroencephalography (sEEG) signals using advanced deep learning methods
X Wu, S Wellington, Z Fu, D Zhang
Journal of Neural Engineering, 2024
22024
Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
FS Liwicki, V Gupta, R Saini, K De, N Abid, S Rakesh, S Wellington, ...
Scientific Data 10 (1), 378, 2023
12023
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
H Wilson, S Wellington, FS Liwicki, V Gupta, R Saini, K De, N Abid, ...
arXiv preprint arXiv:2306.10854, 2023
12023
Bimodal pilot study on inner speech decoding reveals the potential of combining EEG and fMRI
F Simistira Liwicki, V Gupta, R Saini, K De, N Abid, S Rakesh, ...
2022
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