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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Bibliographic Details
Main Authors: Adi Maron-Katz, David Amar, Eti Ben Simon, Talma Hendler, Ron Shamir
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4959697?pdf=render