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Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space
Connectivity hyperalignment can be used to estimate a single shared response space across disjoint datasets. We develop a connectivity-based shared response model that factorizes aggregated fMRI datasets into a single reduced-dimension shared connectivity space and subject-specific topographic trans...
Tallennettuna:
| Julkaisussa: | Neuroimage |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7958465/ https://ncbi.nlm.nih.gov/pubmed/32325212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2020.116865 |
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