Nonlinear local electrovascular coupling. II: From data to neuronal masses

Human Brain Mapping

Volumn 28, Issue 4, 2007, Pages 335-354

  Riera, Jorge J ^a   Jimenez, J C ^b   Wan, X ^a   Kawashima, R ^a   Ozaki, T ^c  

^a TOHOKU UNIVERSITY   (Japan)

^b INSTITUTO DE CIBERNÉTICA   (Cuba)

^c INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

Fusing EEG and fMRI data; State space models; Statistical inferences

Indexed keywords

ADULT; ALGORITHM; APPARATUS; ARTICLE; BAYES THEOREM; BRAIN MAPPING; CALCULATION; DYNAMICS; ELECTROENCEPHALOGRAPHY; FEMALE; FILTER; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; LOCAL ELECTROVASCULAR COUPLING MODEL; MALE; MATHEMATICAL ANALYSIS; MODEL; NEUROIMAGING; NORMAL HUMAN; PARAMETER; PREDICTION; PRIORITY JOURNAL;

BAYES THEOREM; BRAIN; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; VISUAL PERCEPTION;

EID: 34047197601     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20278     Document Type: Article

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