Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

Inverse transformed encoding models – a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

Techniques of multivariate pattern analysis (MVPA) can be used to decode the discrete experimental condition or a continuous modulator variable from measured brain activity during a particular trial. In functional magnetic resonance imaging (fMRI), trial-wise response amplitudes are sometimes estima...

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Bibliographic Details
Main Authors: Joram Soch, Carsten Allefeld, John-Dylan Haynes
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:NeuroImage
Subjects:
fMRI decoding
multivariate pattern analysis
trial-wise parameter estimates
general linear model
multivariate GLM
model inversion
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919310407

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http://www.sciencedirect.com/science/article/pii/S1053811919310407

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