189 citations · 601 across the 10 of their papers we have counts for
10 papers
The Same Analysis Approach: Practical protection against the pitfalls of novel neuroimaging analysis methods
Kai Görgen, Martin N. Hebart, Carsten Allefeld +1
Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly complemented by novel analysis meth…
Exceedance Probabilities for the Dirichlet Distribution
Joram Soch, Carsten Allefeld
We derive an efficient method to calculate exceedance probabilities (EP) for the Dirichlet distribution when the number of event types is larger than two. Also, we present an intui…
Kullback-Leibler Divergence for the Normal-Gamma Distribution
Joram Soch, Carsten Allefeld
We derive the Kullback-Leibler divergence for the normal-gamma distribution and show that it is identical to the Bayesian complexity penalty for the univariate general linear model…
Valid population inference for information-based imaging: From the second-level -test to prevalence inference
Carsten Allefeld, Kai Görgen, John-Dylan Haynes
In multivariate pattern analysis of neuroimaging data, 'second-level' inference is often performed by entering classification accuracies into a -test vs chance level across subj…
Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA
Carsten Allefeld, John-Dylan Haynes
Multi-voxel pattern analysis (MVPA) is a fruitful and increasingly popular complement to traditional univariate methods of analyzing neuroimaging data. We propose to replace the st…
Sequential dependencies between trials in free choice tasks
Carsten Allefeld, Chun Siong Soon, Carsten Bogler +2
In two previous experiments we investigated the neural precursors of subjects' "free" choices for one of two options (pressing one of two buttons, and choosing between adding and s…