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Publications of year 2011

Articles in journal or book chapters

  1. J. Ashburner. SPM: a history. NeuroImage, 2011. [bibtex-entry]


  2. J. Ashburner and K.J. Friston. Diffeomorphic registration using geodesic shooting and Gauss--Newton optimisation. NeuroImage, 55(3):954-967, 2011. [bibtex-entry]


  3. J. Ashburner and S. Klöppel. Multivariate models of inter-subject anatomical variability. NeuroImage, 56(2):422-439, 2011. [bibtex-entry]


  4. G. Barnes, V. Litvak, M.J. Brookes, and K.J. Friston. Controlling false positive rates in mass-multivariate tests for electromagnetic responses. NeuroImage, 56(3):1072-1081, 2011. [bibtex-entry]


  5. Kay H. Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, and K.E. Stephan. Model-based feature construction for multivariate decoding. NeuroImage, 56(2):601-615, 2011. [bibtex-entry]


  6. K.H Brodersen, T.M. Schofield, A.P. Leff, C.S. Ong, E.I. Lomakina, J.M. Buhmann, and K.E. Stephan. Generative Embedding for Model-Based Classification of fMRI Data. PLOS Computational Biology, 7(6):e1002079, 2011. Keyword(s): DCM. [bibtex-entry]


  7. C. Chu, J. Mourão-Miranda, Y.C. Chiu, N. Kriegeskorte, G. Tan, and J. Ashburner. Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods. NeuroImage, 58(2):560-571, 2011. [bibtex-entry]


  8. C. Chu, Y. Ni, G. Tan, C.J. Saunders, and J. Ashburner. Kernel regression for fMRI pattern prediction. NeuroImage, 56(2):662-673, 2011. [bibtex-entry]


  9. J. Daunizeau, O. David, and K.E. Stephan. Dynamic causal modelling: A critical review of the biophysical and statistical foundations. NeuroImage, 58:312-322, 2011. Keyword(s): DCM. [bibtex-entry]


  10. J. Daunizeau, K. Preuschoff, K.J. Friston, and K.E. Stephan. Optimizing experimental design for comparing models of brain function. PLoS Comp. Biol., 7(11):e1002280, 2011. Keyword(s): DCM. [bibtex-entry]


  11. Jörn Diedrichsen, G. Ridgway, K.J. Friston, and T. Wiestler. Comparing the similarity and spatial structure of neural representations: A pattern-component model. NeuroImage, 55(4):1665-1678, 2011. [bibtex-entry]


  12. R.N.A. Henson, D.G. Wakeman, V. Litvak, and K.J. Friston. A parametric empirical Bayesian framework for the EEG/MEG inverse problem: generative models for multi-subject and multi-modal integration. Frontiers in Human Neuroscience, 5(76), 2011. Keyword(s): EEG, MEG, Bayesian. [bibtex-entry]


  13. C. Lambert, L. Zrinzo, Z. Nagy, A. Lutti, M. Hariz, T. Foltynie, B. Draganski, J. Ashburner, and R. Frackowiak. Confirmation of functional zones within the human subthalamic nucleus: Patterns of connectivity and sub-parcellation using diffusion weighted imaging. Neuroimage, 2011. [bibtex-entry]


  14. V. Litvak, J. Mattout, S.J. Kiebel, C. Phillips, R.N.A. Henson, J. Kilner, G. Barnes, R. Oostenveld, J. Daunizeau, G. Flandin, W.D. Penny, and K.J. Friston. EEG and MEG data analysis in SPM8. Comput. Intell. Neurosci., 2011(852961), 2011. Keyword(s): introduction, EEG, MEG. [bibtex-entry]


  15. R. Moran, N. Mallet, V. Litvak, R.J. Dolan, P.J. Magill, K.J. Friston, and P. Brown. Alterations in Brain Connectivity Underlying Beta Oscillations in Parkinsonism. PLoS Comput Biol, 7(8):e1002124, 08 2011. [bibtex-entry]


  16. R. Moran, K.E. Stephan, R. Dolan, and K.J. Friston. Neural fields, spectral responses and lateral connections. NeuroImage, 55(4):1694-1708, 2011. [bibtex-entry]


  17. D.A. Pinotsis and K.J. Friston. Neural fields, spectral responses and lateral connections. NeuroImage, 55(1):39-48, 2011. Keyword(s): DCM. [bibtex-entry]


  18. M.J. Rosa, J. Kilner, and W.D. Penny. Bayesian Comparison of Neurovascular Coupling Models Using EEG-fMRI. PLOS Computational Biology, 7(6):e1002070, 2011. Keyword(s): BMC. [bibtex-entry]


  19. N. Weiskopf, A. Lutti, G. Helms, M. Novak, J. Ashburner, and C. Hutton. Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT). NeuroImage, 54(3):2116-2124, 2011. [bibtex-entry]


Conference articles

  1. C. Chu, D.A. Handwerker, P.A. Bandettini, and J. Ashburner. Measuring the Consistency of Global Functional Connectivity Using Kernel Regression Methods. In Pattern Recognition in NeuroImaging (PRNI), 2011 International Workshop on, pages 41-44, 2011. [bibtex-entry]



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