Graph-based variability estimation in single-trial event-related neural responses

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 5, 2010, Pages 1051-1061

  Gramfort, Alexandre ^a   Keriven, Renaud ^b   Clerc, Maureen ^a  

^a INRIA   (France)

^b UNIVERSITÉ PARIS EST   (France)

Author keywords

Electroencephalography (EEG); Evoked potentials; Graph cuts optimization; Graph Laplacian; Latency estimation; Magnetoencephalography (MEG); Manifold learning; Single trial analysis

Indexed keywords

EVOKED POTENTIALS; GRAPH CUT; GRAPH CUTS OPTIMIZATION; GRAPH LAPLACIAN; LATENCY ESTIMATION; MANIFOLD LEARNING; SINGLE-TRIAL ANALYSIS;

COMBINATORIAL OPTIMIZATION; COST FUNCTIONS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; EXPERIMENTS; LAPLACE TRANSFORMS; LEARNING ALGORITHMS; MAGNETOENCEPHALOGRAPHY; SIGNAL TO NOISE RATIO;

PARAMETER ESTIMATION;

ARTICLE; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; LEARNING ALGORITHM; MAGNETOENCEPHALOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; VALIDATION STUDY;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EVOKED POTENTIALS; HUMANS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REACTION TIME;

EID: 77951273453     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2037139     Document Type: Article

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