Učitavanje...
Identifying reliable independent components via split-half comparisons
Independent component analysis (ICA) is a family of unsupervised learning algorithms that have proven useful for the analysis of the electroencephalogram (EEG) and magnetoencephalogram (MEG). ICA decomposes an EEG/MEG data set into a basis of maximally temporally independent components (ICs) that ar...
Spremljeno u:
| Glavni autori: | , , |
|---|---|
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2008
|
| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3062525/ https://ncbi.nlm.nih.gov/pubmed/19162199 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2008.12.038 |
| Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|