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Spatial Patterns and Functional Profiles for Discovering Structure in fMRI Data
We explore unsupervised, hypothesis-free methods for fMRI analysis in two different types of experiments. First, we employ clustering to identify large-scale functionally homogeneous systems. We formulate a generative mixture model, derive the EM algorithm and apply it to delineate functional system...
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| Publicado en: | Conf Rec Asilomar Conf Signals Syst Comput |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2008
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4465961/ https://ncbi.nlm.nih.gov/pubmed/26082607 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACSSC.2008.5074650 |
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