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- Ricardo Vigário, Jaakko Särelä, V. Jousmiki, Matti Hämäläinen, Erkki Oja
- IEEE Transactions on Biomedical Engineering
- 2000

Multichannel recordings of the electromagnetic fields emerging from neural currents in the brain generate large amounts of data. Suitable feature extraction methods are, therefore, useful to… (More)

- Ricardo Vigário
- Electroencephalography and clinical…
- 1997

Eye activity is one of the main sources of artefacts in EEG and MEG recordings. A new approach to the correction of these disturbances is presented using the statistical technique of independent… (More)

- Juha Karhunen, Erkki Oja, Liuyue Wang, Ricardo Vigário, Jyrki Joutsensalo
- IEEE Trans. Neural Networks
- 1997

Independent component analysis (ICA) is a recently developed, useful extension of standard principal component analysis (PCA). The ICA model is utilized mainly in blind separation of unknown source… (More)

- Dipl Inform Sebastian, Mika, +32 authors Sebastian Mika
- 2003

In this thesis we consider statistical learning problems and machines. A statistical learning machine tries to infer rules from a given set of examples such that it is able to make correct… (More)

We have studied the application of an independent component analysis (ICA) approach to the identification and possible removal of artifacts from a magnetoencephalographic (MEG) recording. This… (More)

- Ricardo Vigário, E. Oja
- IEEE Reviews in Biomedical Engineering
- 2008

We give a general overview of the use and possible misuse of blind source separation (BSS) and independent component analysis (ICA) in the context of neuroinformatics data processing. A clear… (More)

- Jaakko Särelä, Ricardo Vigário
- Journal of Machine Learning Research
- 2003

The present paper is written as a word of caution, with users of independent component analysis (ICA) in mind, to overlearning phenomena that are often observed. We consider two types of… (More)

- Andrzej Cichocki, Juha Karhunen, Wlodzimierz Kasprzak, Ricardo Vigário
- Neurocomputing
- 1999

Blind source separation problems have recently drawn a lot of attention in unsupervised neural learning. In the current approaches, the number of sources is typically assumed to be known in advance,… (More)

- Ricardo Vigário, Erkki Oja
- Neural Networks
- 2000

The impressive increase in the understanding of some basic processing in the human brain has recently led to the formulation of efficient computational methods, which when applied in the design of… (More)

- Juha Karhunen, Aapo Hyvärinen, Ricardo Vigário, Jarmo Hurri, Erkki Oja
- ICASSP
- 1997

In blind source separation one tries to separate statistically independent unknown source signals from their linear mixtures without knowing the mixing coe cients. Such techniques are currently… (More)