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RichMind: A Tool for Improved Inference from Large-Scale Neuroimaging Results
As the use of large-scale data-driven analysis becomes increasingly common, the need for robust methods for interpreting a large number of results increases. To date, neuroimaging attempts to interpret large-scale activity or connectivity results often turn to existing neural mapping based on previo...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4959697/ https://ncbi.nlm.nih.gov/pubmed/27455041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0159643 |
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