Ricardo Vigário
Ricardo Vigário
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Independent component approach to the analysis of EEG and MEG recordings
R Vigário, J Sarela, V Jousmiki, M Hamalainen, E Oja
IEEE transactions on biomedical engineering 47 (5), 589-593, 2000
Extraction of ocular artefacts from EEG using independent component analysis
RN Vigário
Electroencephalography and clinical neurophysiology 103 (3), 395-404, 1997
A class of neural networks for independent component analysis
J Karhunen, E Oja, L Wang, R Vigario, J Joutsensalo
IEEE Transactions on neural networks 8 (3), 486-504, 1997
Independent component analysis for identification of artifacts in magnetoencephalographic recordings
R Vigário, V Jousmäki, M Hämäläinen, R Hari, E Oja
Advances in neural information processing systems 10, 1997
Applications of neural blind separation to signal and image processing
J Karhunen, A Hyvarinen, R Vigário, J Hurri, E Oja
1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997
Neural networks for blind separation with unknown number of sources
A Cichocki, J Karhunen, W Kasprzak, R Vigario
Neurocomputing 24 (1-3), 55-93, 1999
Nonlinear PCA: a new hierarchical approach.
M Scholz, R Vigário
Esann, 439-444, 2002
Overlearning in marginal distribution-based ICA: analysis and solutions
J Särelä, R Vigário
The Journal of Machine Learning Research 4, 1447-1469, 2003
Spikes and bumps: Artefacts generated by independent component analysis with insufficient sample size
A Hyvärinen, J Särelä, J Ssrels, R Vigário
Extraction of event-related signals from multichannel bioelectrical measurements
AK Barros, R Vigário, V Jousmaki, N Ohnishi
IEEE transactions on biomedical engineering 47 (5), 583-588, 2000
BSS and ICA in neuroinformatics: from current practices to open challenges
R Vigario, E Oja
IEEE reviews in biomedical engineering 1, 50-61, 2008
Principal and independent components in neural networks-recent developments
E Oja, J Karhunen, L Wang, R Vigario
Proc. VII Italian Workshop Neural Networks WIRN 95, 16-35, 1996
Independence: A new criterion for the analysis of the electromagnetic fields in the global brain?
R Vigário, E Oja
Neural networks 13 (8-9), 891-907, 2000
Analyzing consistency of independent components: An fMRI illustration
J Ylipaavalniemi, R Vigário
NeuroImage 39 (1), 169-180, 2008
Nonlinear PCA type approaches for source separation and independent component analysis
J Karhunen, L Wang, R Vigario
Proceedings of ICNN'95-International Conference on Neural Networks 2, 995-1000, 1995
Blind source separation techniques for decomposing event-related brain signals
KR Müller, R Vigario, F Meinecke, A Ziehe
International Journal of Bifurcation and Chaos 14 (02), 773-791, 2004
Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli
J Ylipaavalniemi, E Savia, S Malinen, R Hari, R Vigário, S Kaski
NeuroImage 48 (1), 176-185, 2009
Independent component analysis in wave decomposition of auditory evoked fields
R Vigário, J Särelä, E Oja
International Conference on Artificial Neural Networks, 287-292, 1998
Independent Component Analysis in Wave Decomposition of Auditory and Somatosensory Evoked Fields
R Vigário, J Särelä, E Oja
International Workshop on Independent Component Analysis and Blind Signal …, 1999
Self-supervised MRI tissue segmentation by discriminative clustering
N Goncalves, J Nikkilä, R Vigario
International journal of neural systems 24 (01), 1450004, 2014
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