<p>The problem of correlated trial-by-trial parameter estimates in fMRI decoding – solved</p>

Joram Soch; Carsten Allefeld; John-Dylan Haynes

doi:10.7490/f1000research.1118878.1

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Soch J, Allefeld C and Haynes JD. The problem of correlated trial-by-trial parameter estimates in fMRI decoding – solved [version 1; not peer reviewed]. F1000Research 2021, 10:1225 (poster) (https://doi.org/10.7490/f1000research.1118878.1)

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The problem of correlated trial-by-trial parameter estimates in fMRI decoding – solved

Joram Soch¹, Carsten Allefeld, John-Dylan Haynes

Published 02 Dec 2021 (https://doi.org/10.7490/f1000research.1118878.1)

Author Affiliations

¹ Bernstein Center for Computational Neuroscience, Berlin, Germany

Copyright © 2021 Soch J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Dec 2021

The problem of correlated trial-by-trial parameter estimates in fMRI decoding – solved
[version 1; not peer reviewed]

Joram Soch¹, Carsten Allefeld, John-Dylan Haynes

Author Affiliations

¹ Bernstein Center for Computational Neuroscience, Berlin, Germany

Presented at

25th Annual Meeting of the Organization for Human Brain Mapping (OHBM) 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

fMRI decoding, multivariate pattern analysis, trial-wise parameter estimates, general linear model, multivariate GLM, model inversion, classification, reconstruction

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