MvpaPapersOfInterest - MRC CBU Imaging Wiki

Upload page content

You can upload content for the page named below. If you change the page name, you can also upload content for another page. If the page name is empty, we derive the page name from the file name.

File to load page content from
Page name
Comment
Type the odd letters out: ONlY twO thinGs aRE infiNite

location: MvpaPapersOfInterest

MVPA Papers of Interest

  • Guyon, I., & Elisseeff, A. (2003). An introduction to variable and feature selection. Journal of Machine Learning Research, 3, 1157-1182.

  • Hanke, M., Halchenko, Y. O., Sederberg, P. B., Olivetti, E., Fründ, I., Rieger, J. W., et al. (2009). PyMVPA: a unifying approach to the analysis of neuroscientific data. Front. Neuroinform., 3. Retrieved from http://www.frontiersin.org/neuroinformatics/paper/10.3389/neuro.11/003.2009/

  • Haynes, J. D., & Rees, G. (2006). Decoding mental states from brain activity in humans. Nat Rev Neurosci, 7, 523.

  • Kamitani, Y., & Tong, F. (2006). Decoding Seen and Attended Motion Directions from Activity in the Human Visual Cortex. Curr Biol, 16, 1096-1102.

  • Kamitani, Y., & Tong, F. (2005). Decoding the visual and subjective contents of the human brain. Nat Neurosci, 8, 679-685.

  • Kay, K. N., Naselaris, T., Prenger, R. J., & Gallant, J. L. (2008). Identifying natural images from human brain activity. Nature, 452, 352-355.

  • Kriegeskorte, N., & Bandettini, P. (2007). Analyzing for information, not activation, to exploit high-resolution fMRI. NeuroImage, 38, 649-662.

  • Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. PNAS, 103, 3863-3868.

  • Kriegeskorte, N., Mur, M., & Bandettini, P. (2008). Representational similarity analysis - connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2, 1-28.

  • Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009). Circular analysis in systems neuroscience: the dangers of double dipping. Nat Neurosci, 12, 535.

  • Mitchell, T. M., Hutchinson, R., Niculescu, R. S., Pereira, F., & Wang, X. (2004). Learning to Decode Cognitive States from Brain Images. Machine Learning, 57, 145-175.

  • Pereira, F., Mitchell, T., & Botvinick, M. (2009). Machine learning classifiers and fMRI: A tutorial overview. NeuroImage, 45, S199--S209.

  • Kriegeskorte, N., Cusack, R., Bandettini, P. (2009) "How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex-spatiotemporal filter?" NeuroImage, in press.

(JohanCarlin)