文章基本信息

标题：Across-subject offline decoding of motor imagery from MEG and EEG
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作者：Hanna-Leena Halme ; Lauri Parkkonen
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2018
卷号：8
期号：1
页码：10087
DOI：10.1038/s41598-018-28295-z
语种：English
出版社：Springer Nature
摘要：-norm regularization. MEG yielded slightly better average accuracies than EEG. With PM training, none of the inter-subject methods yielded above chance level (58.7%) accuracy. In conclusion, MTL and training with other subject's MI is efficient for inter-subject decoding of MI. Passive movements of other subjects are likely suboptimal for training the MI classifiers.