132013-03-07 21:23:51localhostconverted to 1.6 markup122011-10-25 12:55:58MicheleVeldsman112011-10-25 12:55:28MicheleVeldsman102011-10-18 19:48:05MicheleVeldsman92011-10-10 09:30:42MicheleVeldsman82011-10-05 15:15:17MicheleVeldsman72011-10-05 15:10:27MicheleVeldsman62011-10-05 15:08:28MicheleVeldsman52011-10-05 15:03:59MicheleVeldsman42011-10-05 15:01:03MicheleVeldsman32011-10-05 15:00:22MicheleVeldsman22011-10-05 14:59:34MicheleVeldsman12011-10-05 14:54:19MicheleVeldsmanMultivariate AnalysisWeb ResourcesBelow is a list of web resources used in the talks AFNI 3dsvm plug-in Princeton MVPA toolbox PyMVPA toolbox LIBSVM toolboxReferencesMur, M. & Kriegeskorte, N. (due). Tutorial on Pattern Classification in Functional Imaging. In: Kriegeskorte, N. & Kreiman, G. (eds.). Visual Population Codes: Towards a Common Multivariate Framework for Cell Recording and Functional Imaging.Mur, M., Bandettini, P. & Kriegeskorte, N. (2009). Revealing representational content with pattern-information fMRI – an introductory guide. Social Cognitive & Affective Neuroscience, 4(1): 101-109. DOI:10.1093/scan/nsn044Kriegeskorte, N. (2011). Pattern-information analyses: from stimulus decoding to computational-model testing. Neuroimage. 56(2): 411-421. Norman, K.A., Polyn, S.M., Detre, G.J. & Haxby, J.V. (2006). DOI:10.1016/j.neuroimage.2011.01.061Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10(9): 424-430. PMID:16899397 Detailed mathematical background: Bishop, Ch. (2006). Pattern recognition & machine learning. New York: Springer Science & Business Media. Duda RO, Hart PE, Stork DG (2001) Pattern Classification. New York, NY: John Wiley and Sons.