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Using generative models to make probabilistic statements about hippocampal engagement in MEG
Magnetoencephalography (MEG) enables non-invasive real time characterization of brain activity. However, convincing demonstrations of signal contributions from deeper sources such as the hippocampus remain controversial and are made difficult by its depth, structural complexity and proximity to neoc...
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| 出版年: | Neuroimage |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Academic Press
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5387160/ https://ncbi.nlm.nih.gov/pubmed/28131892 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2017.01.029 |
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