Comparing Classification Methods for Longitudinal fMRI Studies

Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns

(2008) Okito Yamashita et al.   NEUROIMAGE

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns

(2008) Federico De Martino et al.   NEUROIMAGE

Prediction and interpretation of distributed neural activity with sparse models

(2008) M CARROLL et al.   NEUROIMAGE

Machine learning classifiers and fMRI: A tutorial overview

(2008) Francisco Pereira et al.   NEUROIMAGE

A Java-based fMRI Processing Pipeline Evaluation System for Assessment of Univariate General Linear Model and Multivariate Canonical Variate Analysis-based Pipelines

(2008) Jing Zhang et al.   NEUROINFORMATICS

Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No “Face” Identification Area

(2007) Stephen José Hanson et al.   NEURAL COMPUTATION