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Spatially Regularized Machine Learning for Task and Resting-state fMRI
BACKGROUND: Reliable mapping of brain function across sessions and/or subjects in task- and resting-state has been a critical challenge for quantitative fMRI studies although it has been intensively addressed in the past decades. NEW METHOD: A spatially regularized support vector machine (SVM) techn...
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| Vydáno v: | J Neurosci Methods |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4670826/ https://ncbi.nlm.nih.gov/pubmed/26470627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2015.10.001 |
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