Classification methods for ongoing EEG and MEG signals
Classification algorithms help predict the qualitative properties of a subject's mental state by extracting useful information from the highly multivariate non-invasive recordings of his brain activity. In particular, applying them to Magneto-encephalography (MEG) and electro-encephalography (E...
Main Authors: | MICHEL BESSERVE, KARIM JERBI, FRANCOIS LAURENT, SYLVAIN BAILLET, JACQUES MARTINERIE, LINE GARNERO |
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Format: | Article |
Language: | English |
Published: |
BMC
2007-01-01
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Series: | Biological Research |
Subjects: | |
Online Access: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500005 |
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