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Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling
In the past decade, numerous advances in the study of the human brain were fostered by successful applications of blind source separation (BSS) methods to a wide range of imaging modalities. The main focus has been on extracting “networks” represented as the underlying latent sources. While the broa...
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| Pubblicato in: | IEEE J Sel Top Signal Process |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5409135/ https://ncbi.nlm.nih.gov/pubmed/28461840 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JSTSP.2016.2594945 |
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