Maria J. Rosa
Maria J. Rosa
Max Planck - UCL / Computer Science UCL
Verified email at alumni.ucl.ac.uk
TitleCited byYear
Comparing families of dynamic causal models
WD Penny, KE Stephan, J Daunizeau, MJ Rosa, KJ Friston, TM Schofield, ...
PLoS computational biology 6 (3), e1000709, 2010
5132010
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11 (3), 319-337, 2013
2482013
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11 (3), 319-337, 2013
2482013
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11 (3), 319-337, 2013
2482013
Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI
Y Koush, MJ Rosa, F Robineau, K Heinen, SW Rieger, N Weiskopf, ...
Neuroimage 81, 422-430, 2013
1062013
Sparse network-based models for patient classification using fMRI
MJ Rosa, L Portugal, T Hahn, AJ Fallgatter, MI Garrido, J Shawe-Taylor, ...
Neuroimage 105, 493-506, 2015
1052015
EEG-fMRI integration: a critical review of biophysical modeling and data analysis approaches
MJ Rosa, J Daunizeau, KJ Friston
Journal of integrative neuroscience 9 (04), 453-476, 2010
1032010
Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI
MJ Rosa, J Kilner, F Blankenburg, O Josephs, W Penny
Neuroimage 49 (2), 1496-1509, 2010
952010
Procesos psicológicos básicos
AIH Gómez
México: Red Tercer Milenio. Gómez Viera, N., Bonnin Rodríguez, BM, Gómez de …, 2012
892012
Time scales of representation in the human brain: Weighing past information to predict future events
L Harrison, S Bestmann, MJ Rosa, W Penny, GGR Green
Frontiers in human neuroscience 5, 37, 2011
712011
Bayesian model selection maps for group studies
MJ Rosa, S Bestmann, L Harrison, W Penny
Neuroimage 49 (1), 217-224, 2010
552010
Post-hoc selection of dynamic causal models
MJ Rosa, K Friston, W Penny
Journal of neuroscience methods 208 (1), 66-78, 2012
542012
Decoding the matrix: benefits and limitations of applying machine learning algorithms to pain neuroimaging
MJ Rosa, B Seymour
Pain 155 (5), 864-867, 2014
382014
SPM12 manual the FIL methods group (and honorary members)
J Ashburner, G Barnes, C Chen, J Daunizeau, G Flandin, K Friston, ...
312014
Statistical parametric mapping
J Ashburner, G Barnes, CC Chen, J Daunizeau, G Flandin, K Friston, ...
311994
Connectivity changes underlying neurofeedback training of visual cortex activity
F Scharnowski, MJ Rosa, N Golestani, C Hutton, O Josephs, N Weiskopf, ...
PloS one 9 (3), e91090, 2014
242014
Embedding anatomical or functional knowledge in whole-brain multiple kernel learning models
J Schrouff, JM Monteiro, L Portugal, MJ Rosa, C Phillips, ...
Neuroinformatics 16 (1), 117-143, 2018
222018
Bayesian comparison of neurovascular coupling models using EEG-fMRI
MJ Rosa, JM Kilner, WD Penny
PLoS computational biology 7 (6), e1002070, 2011
182011
Classification and characterisation of brain network changes in chronic back pain: A multicenter study
H Mano, G Kotecha, K Leibnitz, T Matsubara, C Sprenger, A Nakae, ...
Wellcome open research 3, 2018
162018
Can emotional and behavioral dysregulation in youth be decoded from functional neuroimaging?
LCL Portugal, MJ Rosa, A Rao, G Bebko, MA Bertocci, AK Hinze, L Bonar, ...
PLoS one 11 (1), e0117603, 2016
112016
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Articles 1–20