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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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Podrobná bibliografie
Vydáno v:PLoS One
Hlavní autoři: Maron-Katz, Adi, Amar, David, Simon, Eti Ben, Hendler, Talma, Shamir, Ron
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2016
Témata:
On-line přístup: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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