Multi-Voxel Pattern Analysis of fMRI Data

The central goal of cognitive neuroscience is to understand how information is processed in the brain. To accomplish this goal, researchers studying human cognition are increasingly relying on multi-voxel pattern analysis (MVPA); this method involves analyzing spatially distributed (multi-voxel) patterns of functional MRI activity, with the goal of decoding the information that is represented across the ensemble of voxels. In this chapter, we describe the major subtypes of MVPA, we provide examples of how MVPA has been used to study neural information processing, and we highlight recent technical advances in MVPA.

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