Diff for "Multivariate_Analysis" - MRC CBU Imaging Wiki
location: Diff for "Multivariate_Analysis"
Differences between revisions 5 and 6
Revision 5 as of 2011-10-05 15:03:59
Size: 1644
Comment:
Revision 6 as of 2011-10-05 15:08:28
Size: 1729
Comment:
Deletions are marked like this. Additions are marked like this.
Line 21: Line 21:
attachment:Visual Population Codes.pdf attachment:VisualPopCodes.pdf[[BR]][[BR]]
Line 23: Line 23:
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. 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.[[BR]]
attachment:PatternInfo.pdf[[BR]][[BR]]
Line 25: Line 27:
Norman, K.A., Polyn, S.M., Detre, G.J. & Haxby, J.V. (2006). Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10(9): 424-430. Norman, K.A., Polyn, S.M., Detre, G.J. & Haxby, J.V. (2006).[[BR]]
attachm
ent:PatternAnalyses.pdf[[BR]][[BR]]
Line 27: Line 30:
 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.
Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10(9): 424-430.[[BR]]
attachment:MindReading.pdf[[BR]][[BR]]
Line 31: Line 33:

[http://www.ncbi.nlm.nih.gov/pubmed/16624579 PMID:16624579][[BR]][[BR]]
 Detailed mathematical background:
Bishop, Ch. (2006). Pattern recognition & machine learning. New York: Springer Science & Business Media.[[BR]]
Duda RO, Hart PE, Stork DG (2001) Pattern Classification. New York, NY: John Wiley and Sons.[[BR]]

Multivariate AnalysisBR

You can download a copy of Ruud and Sasa's talks here: attachment:MVPA.ppt BR

Web ResourcesBR

Below is a list of web resources used in the talks BR

[http://www.cpu.bcm.edu/laconte/3dsvm.html AFNI 3dsvm plug-in]BR [http://code.google.com/p/princeton-mvpa-toolbox/ Princeton MVPA toolbox]BR [http://www.pymvpa.org/ PyMVPA toolbox]BR [http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM toolbox]BR

ReferencesBR

Mur, 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.BR attachment:VisualPopCodes.pdfBRBR

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.BR attachment:PatternInfo.pdfBRBR

Kriegeskorte, 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).BR attachment:PatternAnalyses.pdfBRBR

Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10(9): 424-430.BR attachment:MindReading.pdfBRBR

  • Detailed mathematical background:

Bishop, Ch. (2006). Pattern recognition & machine learning. New York: Springer Science & Business Media.BR Duda RO, Hart PE, Stork DG (2001) Pattern Classification. New York, NY: John Wiley and Sons.BR

CbuImaging: Multivariate_Analysis (last edited 2013-03-07 21:23:51 by localhost)