Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
Top Cited Papers
- 4 November 2005
- journal article
- clinical trial
- Published by Elsevier in NeuroImage
- Vol. 28 (4) , 980-995
- https://doi.org/10.1016/j.neuroimage.2005.06.070
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysisNeuroImage, 2004
- Negative BOLD in the visual cortex: Evidence against blood stealingHuman Brain Mapping, 2004
- Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortexNeuroImage, 2003
- Modeling the Link between Functional Imaging and Neuronal Activity: Synaptic Metabolic Demand and Spike RatesNeuroImage, 2002
- Multivariate Model Specification for fMRI DataNeuroImage, 2002
- The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning CurvesNeuroImage, 2002
- Statistical methods of estimation and inference for functional MR image analysisMagnetic Resonance in Medicine, 1996
- Nonparametric Analysis of Statistic Images from Functional Mapping ExperimentsJournal of Cerebral Blood Flow & Metabolism, 1996
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- Efficient Calculation of the Principal Components of Imaging DataJournal of Cerebral Blood Flow & Metabolism, 1995