Single-trial fMRI activation maps measured during the InterTVA event-related voice localizer. A data set ready for inter-subject pattern analysis
Multivariate pattern analysis (MVPA) of functional neuroimaging data has emerged as a key tool for studying the cognitive architecture of the human brain. At the group level, we have recently demonstrated the advantages of an under-exploited scheme that consists in training a machine learning model...
Main Authors: | Virginia Aglieri, Bastien Cagna, Pascal Belin, Sylvain Takerkart |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-04-01
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Series: | Data in Brief |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920300640 |
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