Dynamic discrimination analysis: A spatial–temporal SVM

[1]  Stephen C. Strother,et al.  Support vector machines for temporal classification of block design fMRI data , 2005, NeuroImage.

[2]  Bernhard E. Boser,et al.  A training algorithm for optimal margin classifiers , 1992, COLT '92.

[3]  Janaina Mourão Miranda,et al.  The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data , 2006, NeuroImage.

[4]  S A Shamma,et al.  Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex. , 2001, Journal of neurophysiology.

[5]  Andrew B. Watson,et al.  Separability of Spatiotemporal Spectra of Image Sequences , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  David D. Cox,et al.  Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex , 2003, NeuroImage.

[7]  J. C. BurgesChristopher.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998 .

[8]  Dinggang Shen,et al.  Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection , 2005, NeuroImage.

[9]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[10]  Rainer Goebel,et al.  Information-based functional brain mapping. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Tom M. Mitchell,et al.  Learning to Decode Cognitive States from Brain Images , 2004, Machine Learning.

[12]  G. Rees,et al.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.

[13]  Karl J. Friston,et al.  Amygdala–Hippocampal Involvement in Human Aversive Trace Conditioning Revealed through Event-Related Functional Magnetic Resonance Imaging , 1999, The Journal of Neuroscience.

[14]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[15]  H. Kaiser.  The Application of Electronic Computers to Factor Analysis , 1960 .

[16]  Janaina Mourão Miranda,et al.  Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data , 2005, NeuroImage.

[17]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[18]  Tom M. Mitchell,et al.  Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects , 2003, NIPS.