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Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
Interneuron classification is an important and long-debated topic in neuroscience. A recent study provided a data set of digitally reconstructed interneurons classified by 42 leading neuroscientists according to a pragmatic classification scheme composed of five categorical variables, namely, of the...
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| 出版年: | Front Comput Neurosci |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4243564/ https://ncbi.nlm.nih.gov/pubmed/25505405 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00150 |
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