| Autor: |
Vince D Calhoun, Vamsi K Potluru, Ronald Phlypo, Rogers F Silva, Barak A Pearlmutter, Arvind Caprihan, Sergey M Plis, Tülay Adalı |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Předmět: |
|
| Zdroj: |
PLoS ONE, Vol 8, Iss 8, p e73309 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
1932-6203 |
| DOI: |
10.1371/journal.pone.0073309 |
| Popis: |
A recent paper by Daubechies et al. claims that two independent component analysis (ICA) algorithms, Infomax and FastICA, which are widely used for functional magnetic resonance imaging (fMRI) analysis, select for sparsity rather than independence. The argument was supported by a series of experiments on synthetic data. We show that these experiments fall short of proving this claim and that the ICA algorithms are indeed doing what they are designed to do: identify maximally independent sources. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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