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Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data

Figure 3

Topographic Factor Analysis.

A pattern of voxel activations is observed during each of trials (). Each of shared sources are defined by their centers () and widths (). The voxel activations arise due to the sources being activated to varying amounts during each trial, as specified by . Shaded nodes indicate observed variables, unshaded nodes indicate hidden variables, and dots indicate hyperparameters.

Figure 3

doi: https://doi.org/10.1371/journal.pone.0094914.g003