Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis

Physics in Medicine and Biology

Volumn 51, Issue 10, 2006, Pages 2395-2414

  Jun, Sung C ^a   George, John S ^a   Plis, Sergey M ^a,b   Ranken, Doug M ^a   Schmidt, David M ^a   Wood, C C ^c  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

^b University of New Mexico   (United States)

^c SANTA FE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; MARKOV PROCESSES; MONTE CARLO METHODS; SEPARATION;

BAYESIAN INFERENCE; DETECTABILITY; SOURCE DETECTION;

ELECTROENCEPHALOGRAPHY;

ARTICLE; BAYES THEOREM; BRAIN FUNCTION; DIPOLE; ELECTROENCEPHALOGRAPHY; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MAGNETOENCEPHALOGRAPHY; MONTE CARLO METHOD; PRIORITY JOURNAL; PROBABILITY; SAMPLING;

ACTION POTENTIALS; BAYES THEOREM; BRAIN; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETOENCEPHALOGRAPHY; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33646491783     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/51/10/004     Document Type: Article

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