Voxel-wise Bayesian model selection

Voxels-wise Bayesian model selection

Is a technique to compare brain maps using Bayesian methods.

Building and comparing brain maps between several models is a common task for neuroscientist.

Here we performed a Bayesian model selection (BMS) to select the best model given the data for group-level analysis. This procedure computes the probability of the data given the model (model evidence) for a set of candidate models. It also allows to compare characterize maps”heat zones” and to visualize them.

Check out the project on GitHub or the paper published in the Journal of Neuroscience.