2024
DOI: 10.31234/osf.io/t975e
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The Voxelwise Modeling framework: a tutorial introduction to fitting encoding models to fMRI data

Tom Dupré la Tour,
Matteo Visconti di Oleggio Castello,
Jack L. Gallant

Abstract: Voxelwise modeling (VM) is a powerful framework for functionally mapping the brain. In the VM framework, features are extracted from the stimulus (or task) and used in an encoding model to predict brain activity. If the encoding model is able to predict brain activity in some part of the brain, then one may conclude that some information represented in the features is also encoded in the brain. In VM, a separate encoding model is fitted on each spatial sample (i.e. each voxel). VM has many benefits compared to… Show more

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