Minimum Overlap Component Analysis (MOCA) of EEG/MEG data for more than two sources

Journal of Neuroscience Methods

Volumn 183, Issue 1, 2009, Pages 72-76

  Nolte, Guido ^a   Marzetti, Laura ^b   Valdes Sosa, Pedro ^c  

^a FRAUNHOFER FIRST   (Germany)

^b UNIVERSITY OF CHIETI   (Italy)

^c CUBAN NEUROSCIENCE CENTER   (Cuba)

Author keywords

Connectivity; Decomposition; EEG; Inverse methods; MEG; MOCA

Indexed keywords

ALPHA RHYTHM; ARTICLE; ELECTROENCEPHALOGRAM; HUMAN; LEARNING ALGORITHM; LEG MOVEMENT; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL MODEL; OCCIPITAL LOBE; PRIORITY JOURNAL;

ALGORITHMS; ANIMALS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 69549129298     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.07.006     Document Type: Article

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