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Model-based feature construction for multivariate decoding
Conventional decoding methods in neuroscience aim to predict discrete brain states from multivariate correlates of neural activity. This approach faces two important challenges. First, a small number of examples are typically represented by a much larger number of features, making it hard to select...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3112410/ https://ncbi.nlm.nih.gov/pubmed/20406688 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2010.04.036 |
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