Unbiased Analysis of Item-Specific Multi-Voxel Activation Patterns Across Learning

Unbiased Analysis of Item-Specific Multi-Voxel Activation Patterns Across Learning

Recent work has highlighted that multi-voxel pattern analysis (MVPA) can be severely biased when BOLD response estimation involves systematic imbalance in model regressor correlations. This problem occurs in situations where trial types of interest are temporally dependent and the associated BOLD ac...

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Bibliographic Details
Main Authors: Hannes Ruge, Eric Legler, Theo A. J. Schäfer, Katharina Zwosta, Uta Wolfensteller, Holger Mohr
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Neuroscience
Subjects:
MVPA
pattern similarity
classifier
rapid learning
instruction-based learning
RITL
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00723/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00723/full

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