Voxelwise Modeling: a powerful framework for recovering functional maps from fMRI data Fatma Deniz, Jack Gallant, Matteo Visconti di Oleggio Castello, Tom Dupre la Tour, Mark Lescroart Voxelwise Modeling (VM) is a neuroimaging analysis framework that is used to create detailed functional maps of the human brain. VM creates explicit encoding models of sensory and cognitive processes that map experimental stimuli and tasks onto voxel activity measured by functional magnetic resonance imaging (fMRI). Several of the design characteristics of VM make it more powerful than classical fMRI data analysis methods. VM requires fewer assumptions than most other methods because model parameters are learned directly from the data. Voxelwise models can be fit to brain activity in response to naturalistic stimuli, increasing ecological validity compared to classical experiments. A wide range of stimulus properties can be extracted from the same naturalistic stimulus and studied in the same dataset, making VM more efficient and cost-effective for hypothesis testing. Model generalization is tested directly on a held-out dataset, reducing the problems of null-hypothesis statistical testing. Finally, the entire analysis can be performed within individual subjects, allowing replication in each individual, and preserving subject-specific anatomical and functional differences. In this talk, I will provide an overview of VM and its application in many domains of cognitive neuroscience and make comparisons to more classical fMRI data analysis methods. The tutorials will provide a detailed understanding of the methodology with hands-on examples created in himalaya, a new VM python package that we developed. The talk and tutorials will teach participants how to apply the voxelwise modeling framework start-to-finish, from experimental design to data visualization. 0:00:00 Introduction 0:05:09 Jack Gallant - Keynote Part 1 0:13:22 Fatma Deniz - Keynote Part 2 0:54:57 Q&A and panel discussion (Fatma Deniz, Jack Gallant, Matteo Visconti di Oleggio Castello, Tom Dupre la Tour, Mark Lescroart) 1:13:11 Tom Dupre la Tour - Tutorial - Intro 1:19:52 Tom Dupre la Tour - Tutorial - Part 1 1:40:35 Tom Dupre la Tour - Tutorial - Part 2 2:11:46 Matteo Visconti di Oleggio Castello - Tutorial - Part 3 2:28:00 Matteo Visconti di Oleggio Castello - Tutorial - Part 4 2:37:53 Matteo Visconti di Oleggio Castello - Tutorial - Part 5