<p>Detecting, avoiding &amp; eliminating confounds in MVPA/decoding studies</p>

Kai Goergen; Martin N Hebart; Carsten Allefeld; John-Dylan Haynes

doi:10.7490/f1000research.1111808.1

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Goergen K, Hebart MN, Allefeld C and Haynes JD. Detecting, avoiding & eliminating confounds in MVPA/decoding studies [version 1; not peer reviewed]. F1000Research 2016, 5:798 (poster) (https://doi.org/10.7490/f1000research.1111808.1)

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Detecting, avoiding & eliminating confounds in MVPA/decoding studies

Kai Goergen¹, Martin N Hebart, Carsten Allefeld, John-Dylan Haynes¹

Published 04 May 2016 (https://doi.org/10.7490/f1000research.1111808.1)

Author Affiliations

¹ BCCN, Charite University Hospital, Berlin, Germany

Copyright © 2016 Goergen K 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 04 May 2016

Detecting, avoiding & eliminating confounds in MVPA/decoding studies
[version 1; not peer reviewed]

Kai Goergen¹, Martin N Hebart, Carsten Allefeld, John-Dylan Haynes¹

Author Affiliations

¹ BCCN, Charite University Hospital, Berlin, Germany

Presented at

20th Annual Meeting of the Organization for Human Brain Mapping (OHBM) 2014

Abstract

Competing Interests

No competing interests were disclosed

Keywords

MVPA, confounds, decoding, below-chance accuracies, experimental design, cross validation, multivariate statistics, neuroimaging

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