Decoding the visual and subjective contents of the human brain

Kamitani, Yukiyasu, Tong, Frank·2005·Nature Neuroscience
DOI 10.1038/nn1444

Cited by (1,000)

Items 801–900 of 1,000

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  17. Pattern classification of EEG signals reveals perceptual and attentional states
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    Jianqiao Ge, Xiaosi Gu, Meng Ji, Shihui Han · 2009 · Human Brain Mapping
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  98. Levels of Integration in Cognitive Control and Sequence Processing in the Prefrontal Cortex
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