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vb2_2005.pdf
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🔗 Source: fil.ion.ucl.ac.uk
📊 Size: 735 KB
📄 Pages: 13 pages
⬇️ Downloads: 54

Summary

The approach uses a Variational Bayes framework to determine the optimal amount of smoothing and assumes an arbitrary order Auto-Regressive (AR) model for the errors. The method is applied to simulated data and an event-related fMRI experiment, and is compared to other approaches, such as scale-space procedures and Mixture of General Linear Models (MGLMs). The spatial characteristics of the hemodynamic response are handled naturally and automatically, and the precision of regression coefficients is estimated using both data at a given voxel and neighboring voxels.

Description

The approach uses a Variational Bayes framework to determine the optimal amount of smoothing and assumes an arbitrary order Auto-Regressive (AR) model for the...

Technical Information

  • File Format: PDF
  • File Size: 735 KB
  • Pages: 13
  • Language: EN
  • Total Downloads: 54
  • Last Updated: 19 hours ago

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