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Incorporating advanced language models into the P300 speller using particle filtering
OBJECTIVE: The P300 speller is a common brain–computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject’s electroencephalogram (EEG) signal. Information about the structure of natural language can be valuable for BCI communication, but a...
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| 發表在: | J Neural Eng |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4509796/ https://ncbi.nlm.nih.gov/pubmed/26061188 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/12/4/046018 |
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