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Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models
Previous work investigated a range of spatio-temporal constraints for fMRI data analysis to provide robust detection of neural activation. We present a mixture-based method for the spatio-temporal modelling of fMRI data. This approach assumes that fMRI time series are generated by a probabilistic su...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Academic Press
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4066951/ https://ncbi.nlm.nih.gov/pubmed/24041873 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.09.003 |
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