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| BESSERVE,MICHEL; JERBI,KARIM; LAURENT,FRANCOIS; BAILLET,SYLVAIN; MARTINERIE,JACQUES; GARNERO,LINE. |
| 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 (EEG) is a challenging and promising task with prominent practical applications to e.g. Brain Computer Interface (BCI). In this paper, we first review the principles of the major classification techniques and discuss their application to MEG and EEG data classification. Next, we investigate the behavior of classification methods using real data recorded during a MEG visuomotor experiment. In particular, we study the influence of the classification algorithm, of the... |
| Tipo: Journal article |
Palavras-chave: Brain computer interface; Electroencephalography; Magnetoencephalography; Visuomotor control; Support Vector Machine. |
| Ano: 2007 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500005 |
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| LACHAUX,JEAN-PHILIPPE; JERBI,KARIM; BERTRAND,OLIVIER; MINOTTI,LORELLA; HOFFMANN,DOMINIQUE; SCHOENDORFF,BENJAMIN; KAHANE,PHILIPPE. |
| Our understanding of the brain's functional organisation has greatly benefited from occasional exploratory sessions during electrophysiological studies, trying various manipulations of an animal's environment to trigger responses in particular neurons. Famous examples of such exploration have unveiled various unexpected response properties, such as those of mirror neurons. This approach, which relies on the possibility to test online the reactivity of precise neural populations has no equivalent so far in humans. The present study proposes and applies a radically novel framework for mapping human brain functions in ecological situations based on a combination of a) exploratory sessions, using real-time electrophysiology to formulate hypotheses about the... |
| Tipo: Journal article |
Palavras-chave: Speech; Gamma rhythm; Beta rhythm; Brain computer interface; Neurofeedback; Neural synchronization. |
| Ano: 2007 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500004 |
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