Diff for "MvpaPapersOfInterest" - MRC CBU Imaging Wiki
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 * Haynes, JD, & Rees, G (2006) "Decoding mental states from brain activity in humans" Nature Reviews Neuroscience
 * Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006). Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10), 3863-8.
 * Kriegeskorte, N., Cusack, R., Bandettini, P. (2009) "How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex-spatiotemporal filter?" NeuroImage
 * Haxby, JV, Gobbini, MI, Furey, ML, Ishai, A (2001) "Distributed and overlapping representations of faces and objects in ventral temporal cortex" Science
 * 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.

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.

CbuImaging: MvpaPapersOfInterest (last edited 2013-03-07 21:24:01 by localhost)