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How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging
View ORCID ProfileJoram Soch, Achim Pascal Meyer, John-Dylan Haynes, Carsten Allefeld
doi: https://doi.org/10.1101/095778
Joram Soch
aBernstein Center for Computational Neuroscience, Berlin, Germany
fDepartment of Psychology, Humboldt-Universitat zu Berlin, Germany
Achim Pascal Meyer
aBernstein Center for Computational Neuroscience, Berlin, Germany
John-Dylan Haynes
aBernstein Center for Computational Neuroscience, Berlin, Germany
bBerlin Center for Advanced Neuroimaging, Berlin, Germany
cBerlin School of Mind and Brain, Berlin, Germany
dExcellence Cluster NeuroCure, Charité-Universitätsmedizin Berlin, Germany
eDepartment of Neurology, Charite-Universitatsmedizin Berlin, Germany
fDepartment of Psychology, Humboldt-Universitat zu Berlin, Germany
Carsten Allefeld
aBernstein Center for Computational Neuroscience, Berlin, Germany
bBerlin Center for Advanced Neuroimaging, Berlin, Germany
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Posted March 02, 2017.
How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging
Joram Soch, Achim Pascal Meyer, John-Dylan Haynes, Carsten Allefeld
bioRxiv 095778; doi: https://doi.org/10.1101/095778
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