MvpaPapersOfInterest - MRC CBU Imaging Wiki
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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

  • 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.


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