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Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy

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第一作者： Combrisson, Etienne

作者： Combrisson, Etienne ^[1] ; Jerbi, Karim

作者单位： Univ Lyon 1, Lyon Neurosci Res Ctr, DYCOG Lab, INSERM,U1028,UMR 5292, F-69365 Lyon, France ^[1]

关键词 k-Fold cross-validation Small sample size Classification Multi-class decoding Brain-computer-interfaces (BCIs)Machine learning Binomial cumulative distribution Classification significance Decoding accuracy MEG ECoG Intracranial EEG

发布时间 2015-09-04

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Journal of Neuroscience Methods

2015年250卷

126-136页

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Journal of Neuroscience Methods

2015年250卷

126-136页

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Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy

Journal of Neuroscience Methods

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Journal of Neuroscience Methods

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Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy

Journal of Neuroscience Methods

相似文献

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Journal of Neuroscience Methods

相关期刊

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