Detecting stable distributed patterns of brain activation using Gini contrast

This publication has 44 references indexed in Scilit:

• A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data
  BMC Bioinformatics, 2009
• A hybrid SVM–GLM approach for fMRI data analysis
  NeuroImage, 2009
• Machine learning classifiers and fMRI: A tutorial overview
  NeuroImage, 2009
• Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns
  NeuroImage, 2008
• Conditional variable importance for random forests
  BMC Bioinformatics, 2008
• Support vector machine learning-based fMRI data group analysis
  NeuroImage, 2007
• Beyond mind-reading: multi-voxel pattern analysis of fMRI data
  Trends in Cognitive Sciences, 2006
• Decoding mental states from brain activity in humans
  Nature Reviews Neuroscience, 2006
• Decoding the visual and subjective contents of the human brain
  Nature Neuroscience, 2005
• Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex
  Science, 2001