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Topographic factor analysis: a Bayesian model for inferring brain networks from neural data.

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Academic year: 2017

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Table 1. Variables in TFA.
Figure 3. Topographic Factor Analysis. A pattern of V voxel activations is observed during each of N trials (y n,v )
Table 4. Variational parameters.
Figure 6. Predicting the covariance structure of an fMRI dataset. A. Each dot reflects the covariance between a pair of images from a single participant (x-axis: observed, y-axis: estimated) using K~60 sources
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