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Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion
Electroencephalogram (EEG)-based decoding human brain activity is challenging, owing to the low spatial resolution of EEG. However, EEG is an important technique, especially for brain–computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated wi...
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| I publikationen: | PLoS One |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5448783/ https://ncbi.nlm.nih.gov/pubmed/28558002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0178410 |
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