How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection. - Joram Soch; John-Dylan Haynes; Carsten Allefeld (NeuroImage, 2016)

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 (NeuroImage, 2017)

Inverse transformed encoding models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding. - Joram Soch; Carsten Allefeld; John-Dylan Haynes (NeuroImage, 2020)

Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults. - Joram Soch; Anni Richter; Hartmut Schütze; Jasmin M. Kizilirmak; Anne Assmann; Lea Knopf; Matthias Raschick; Annika Schult; Anne Maaß; Gabriel Ziegler; Alan Richardson-Klavehn; Emrah Düzel; et al. (NeuroImage, 2021)