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A visual working memory dataset collection with bootstrap Independent Component Analysis for comparison of electroencephalographic preprocessing pipelines
Here we present an electroencephalographic (EEG) collection of 71-channel datasets recorded from 14 subjects (7 males, 7 females, aged 20–40 years) while performing a visual working memory task with a T set of 150 Independent Component Analysis (ICA) decompositions by Extended Infomax using RELICA,...
שמור ב:
| הוצא לאור ב: | Data Brief |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Elsevier
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6348727/ https://ncbi.nlm.nih.gov/pubmed/30705925 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2018.12.022 |
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