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Data on copula modeling of mixed discrete and continuous neural time series
Copula is an important tool for modeling neural dependence. Recent work on copula has been expanded to jointly model mixed time series in neuroscience (“Hu et al., 2016, Joint Analysis of Spikes and Local Field Potentials using Copula” [1]). Here we present further data for joint analysis of spike a...
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| 出版年: | Data Brief |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4845150/ https://ncbi.nlm.nih.gov/pubmed/27158651 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2016.04.020 |
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