Publications of M.J. Rosa

Thesis

1. M.J. Rosa. Development and application of model selection methods for investigating brain function. PhD thesis, University College London, 2012. [PDF] [bibtex-entry]

Articles in journal, book chapters

1. M.J. Rosa, K.J. Friston, and W.D. Penny. Post-hoc selection of dynamic causal models. NeuroImage, 2012. Note: In Press. [doi:10.1016/j.jneumeth.2012.04.013] [bibtex-entry]



2. 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. [doi:10.1371/journal.pcbi.1002070] Keyword(s): BMC. [bibtex-entry]



3. W.D. Penny, K.E. Stephan, J. Daunizeau, M.J. Rosa, K.J. Friston, T.M.Schofield, and A.P. Leff. Comparing Families of Dynamic Causal Models. PLoS Comput Biol, 6(3):e1000709, 2010. [PDF] [doi:10.1371/journal.pcbi.1000709] [bibtex-entry]



4. M.J. Rosa, J. Daunizeau, and K.J. Friston. EEG-fMRI integration : a critical review of biophysical modelling and data analysis approaches. J. Integrative Neurosci., 9(4):453-476, 2010. [bibtex-entry]



5. M.J. Rosa, S. Bestmann, L. Harrison, and W.D. Penny. Bayesian Model Selection Maps for Group Studies. NeuroImage, 49(1):217-224, 2009. [doi:10.1016/j.neuroimage.2009.08.051] [bibtex-entry]



6. M.J. Rosa, J. Kilner, F. Blankenburg, O. Josephs, and W.D. Penny. Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI. NeuroImage, 2009. [doi:10.1016/j.neuroimage.2009.09.011] [bibtex-entry]

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