Unsupervised analysis of fMRI data using kernel canonical correlation
- 1 October 2007
- journal article
- Published by Elsevier BV in NeuroImage
- Vol. 37 (4), 1250-1259
- https://doi.org/10.1016/j.neuroimage.2007.06.017
Abstract
No abstract availableThis publication has 22 references indexed in Scilit:
- Modulation of visual processing by attention and emotion: windows on causal interactions between human brain regionsPhilosophical Transactions B, 2007
- The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI dataNeuroImage, 2006
- Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI dataNeuroImage, 2005
- Partially Distributed Representations of Objects and Faces in Ventral Temporal CortexJournal of Cognitive Neuroscience, 2005
- Canonical Correlation Analysis: An Overview with Application to Learning MethodsNeural Computation, 2004
- Model-free functional MRI analysis based on unsupervised clusteringJournal of Biomedical Informatics, 2004
- Evaluation of salient point techniquesImage and Vision Computing, 2003
- Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortexNeuroImage, 2003
- Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal CortexScience, 2001
- Analysis of functional magnetic resonance imaging data using self-organizing mapping with spatial connectivityMagnetic Resonance in Medicine, 1999